Index for loss

_	loss	_
2025 High-Resolution Glacier Inventory of the Greater Caucasus Reveals Accelerated Area	loss	, A
2D Wasserstein	loss	for robust facial landmark detection
2D-3D semantic segmentation using cardinality as higher-order	loss
360° Surface Regression with a Hyper-Sphere	loss
3C-Net: Category Count and Center	loss	for Weakly-Supervised Action Localization
3D Hand Pose Estimation via aligned latent space injection and kinematic	loss	es
3D Hippocampus Segmentation Using a Hog Based	loss	Function with Majority Pooling
3D landmark-based face restoration for recognition using variational autoencoder and triplet	loss
3S Technologies and Application for Dynamic Monitoring Soil and Water	loss	In the Yangtze River Basin, China
Abductive natural language inference by interactive model with structural	loss
Abnormal-Aware	loss	and Full Distillation for Unsupervised Anomaly Detection Based on Knowledge Distillation
Accelerated Glacier Area	loss	and Extinction of Small Glaciers in the Bhutanese Himalaya over the Past Five Decades
Accelerated Glacier Area	loss	in the Zhetysu (Dzhungar) Alatau Range (Tien Shan) for the Period of 1956-2016
Accelerated Glacier Thinning and Area	loss	in the Wind River Range, Wyoming (1968-2019): Climate and Topographic Drivers
Accelerated WGAN update strategy with	loss	change rate balancing
Accounting for Signal	loss	Due to Dephasing in the Correction of Distortions in Gradient-Echo EPI Via Nonrigid Registration
Accuracy of a high-level,	loss	-tolerant video fingerprint for surveillance authentication
Accurate and Fast Quantitative Detection of Rail Corrugation Driven by Deep Learning Algorithms Using Adaptive Targeted	loss	and Directed Metric Functions
Accurate and Reliable Facial Expression Recognition Using Advanced Softmax	loss	With Fixed Weights
Accurate bounding-box regression with distance-IoU	loss	for visual tracking
Accurate Few-shot Object Detection with Support-Query Mutual Guidance and Hybrid	loss
Accurate Maritime Radio Propagation	loss	Prediction Approach Employing Neural Networks, An
Accurate traffic light detection using deep neural network with focal regression	loss
ACR	loss	: Adaptive Coordinate-based Regression Loss for Face Alignment
ACR	loss	: Adaptive Coordinate-based Regression Loss for Face Alignment
Activation Template Matching	loss	for Explainable Face Recognition
Active Learning for Object Detection With Vectorized Dual Pseudo	loss	and Multiple Instance Offset Constraint
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency	loss
Adaptation of MPEG Video in ATM Networks Using Forward	loss	/Error Recovery (FLER) Scheme
Adaptive Adversarial Cross-Entropy	loss	for Sharpness-Aware Minimization
Adaptive Class Suppression	loss	for Long-Tail Object Detection
Adaptive Dual-Axis Style-Based Recalibration Network With Class-Wise Statistics	loss	for Imbalanced Medical Image Classification
Adaptive Ensemble Learning With Category-Aware Attention and Local Contrastive	loss
Adaptive Focal	loss	Function Based on Transfer Learning for Few-Shot Radar Signal Intra-Pulse Modulation Classification, An
adaptive index smoothing	loss	for face anti-spoofing, An
Adaptive Ladder	loss	for Learning Coherent Visual-Semantic Embedding
Adaptive	loss	function based least squares one-class support vector machine
Adaptive	loss	-Aware Quantization for Multi-Bit Networks
Adaptive Multi-Modal Cross-Entropy	loss	for Stereo Matching
Adaptive Noisy Label-Correction Method Based on Selective	loss	for Hyperspectral Image-Classification Problem, An
Adaptive Offline Quintuplet	loss	for Image-text Matching
Adaptive Proxy Anchor	loss	for Deep Metric Learning
Adaptive Range Guided Multi-view Depth Estimation with Normal Ranking	loss
Adaptive Region-Specific	loss	for Improved Medical Image Segmentation
Adaptive Saliency Biased	loss	for Object Detection in Aerial Images
Adaptive Sparse Pairwise	loss	for Object Re-Identification
Adaptive Spatial Location With Balanced	loss	for Video Captioning
Adaptive Spatial-BCE	loss	for Weakly Supervised Semantic Segmentation
Adaptive Weighted	loss	es With Distribution Approximation for Efficient Consistency-Based Semi-Supervised Learning
Adaptive Weighting of Handcrafted Feature	loss	es for Facial Expression Recognition
Adaptive Wing	loss	for Robust Face Alignment via Heatmap Regression
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With	loss	Masking
Adv-Depth: Self-Supervised Monocular Depth Estimation with an Adversarial	loss
Advancing precision in medical image segmentation: A performance analysis of	loss	functions for COVID-19 lung infection segmentation in computed tomography images
Advancing Supervised Learning with the Wave	loss	Function: A Robust and Smooth Approach
Adversarial Background-aware	loss	for Weakly-supervised Temporal Activity Localization
Adversarial Defense Through High Frequency	loss	Variational Autoencoder Decoder and Bayesian Update With Collective Voting
Adversarial Segmentation	loss	for Sketch Colorization
Adversarial Unsupervised Video Summarization Augmented With Dictionary	loss
Adversarially Robust Continual Learning with Anti-Forgetting	loss
AFLNet: Adversarial focal	loss	network for RGB-D salient object detection
Age-Oriented Face Synthesis With Conditional Discriminator Pool and Adversarial Triplet	loss
Align and Attend: Multimodal Summarization with Dual Contrastive	loss	es
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel	loss
Alternative	loss	function in evaluation of algorithmic investing strategies based on transformer models
Alternative Probabilistic Interpretation of the Huber	loss	, An
AM-LFS: AutoML for	loss	Function Search
AMC-	loss	: Angular Margin Contrastive Loss for Improved Explainability in Image Classification
AMC-	loss	: Angular Margin Contrastive Loss for Improved Explainability in Image Classification
Analysis and Optimization of	loss	Functions for Multiclass, Top-k, and Multilabel Classification
Analysis of Distortion due to Packet	loss	in Streaming Video Transmission over Wireless Communication Links
Analysis of Packet	loss	for Compressed Video: Effect of Burst Losses and Correlation Between Error Frames
Analysis of Packet	loss	for Compressed Video: Effect of Burst Losses and Correlation Between Error Frames
Analysis of Packet-	loss	-Induced Distortion in View Synthesis Prediction-Based 3D Video Coding
Analysis of V2V Broadcast Performance Limit for WAVE Communication Systems Using Two-Ray Path	loss	Model
Analyzing the Impact of Highways Associated with Farmland	loss	under Rapid Urbanization
Analyzing the Variety	loss	in the Context of Probabilistic Trajectory Prediction
Anchor	loss	: Modulating Loss Scale Based on Prediction Difficulty
Anchor	loss	: Modulating Loss Scale Based on Prediction Difficulty
Angular Isotonic	loss	Guided Multi-Layer Integration for Few-Shot Fine-Grained Image Classification
Angular Margin Constrained	loss	for Automatic Liver Fibrosis Staging
Annual Change Detection by ASTER TIR Data and an Estimation of the Annual Coal	loss	and CO2 Emission from Coal Seams Spontaneous Combustion
Annual Detection of Forest Cover	loss	Using Time Series Satellite Measurements of Percent Tree Cover
Anti-Collapse	loss	for Deep Metric Learning
Anticipating Traffic Accidents with Adaptive	loss	and Large-Scale Incident DB
AP-	loss	for Accurate One-Stage Object Detection
Appearance Label Balanced Triplet	loss	for Multi-modal Aerial View Object Classification
Application of YOLOv5 for Point Label Based Object Detection of Black Pine Trees with Vitality	loss	es in UAV Data
Approximately Optimal Assignment for Unequal	loss	Protection
APPSO-NN: An adaptive-probability particle swarm optimization neural network for sensorineural hearing	loss	detection
ARAPReg: An As-Rigid-As Possible Regularization	loss	for Learning Deformable Shape Generators
ArcFace: Additive Angular Margin	loss	for Deep Face Recognition
Artificial Surface Water Construction Aggregated Water	loss	Through Evaporation in the North China Plain
ARUBA: An Architecture-Agnostic Balanced	loss	for Aerial Object Detection
ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking	loss	function for Perceptual Image Quality Assessment
Assessing Post-Fire Effects on Soil	loss	Combining Burn Severity and Advanced Erosion Modeling in Malesina, Central Greece
Assessing quality of experience for high definition video streaming under diverse packet	loss	patterns
Assessing Surface Water	loss	es and Gains under Rapid Urbanization for SDG 6.6.1 Using Long-Term Landsat Imagery in the Guangdong-Hong Kong-Macao Greater Bay Area, China
Assessing the Impact of the	loss	Function and Encoder Architecture for Fire Aerial Images Segmentation Using Deeplabv3+
Assessment of Vegetation Drought	loss	and Recovery in Central Asia Considering a Comprehensive Vegetation Index
Association	loss	for Visual Object Detection
AsyDisNet: Scalable Mammographic Asymmetry and Architectural Distortion Detection With Angle-Based Quadruplet	loss
Asymmetric	loss	For Multi-Label Classification
Asymmetric	loss	Functions for Noise-Tolerant Learning: Theory and Applications
Attention Voting Network with Prior Distance Augmented	loss	for 6DoF Pose Estimation
Attention-Based Knowledge Distillation in Scene Recognition: The Impact of a DCT-Driven	loss
Attention-Driven	loss	for Anomaly Detection in Video Surveillance
Attention-Enhanced Dual-Branch Residual Network with Adaptive L-Softmax	loss	for Specific Emitter Identification under Low-Signal-to-Noise Ratio Conditions
Attribute-Centered	loss	for Soft-Biometrics Guided Face Sketch-Photo Recognition
Audio-driven Talking Face Generation with Stabilized Synchronization	loss
Audio-Visual Temporal Forgery Detection Using Embedding-Level Fusion and Multi-Dimensional Contrastive	loss
Autoencoders with exponential deviation	loss	for weakly supervised anomaly detection
Auto	loss	-GMS: Searching Generalized Margin-based Softmax Loss Function for Person Re-identification
Auto	loss	-Zero: Searching Loss Functions from Scratch for Generic Tasks
Automated Catheter Localization in Volumetric Ultrasound Using 3D Patch-Wise U-Net with Focal	loss
Automatic Detection of Emotional Changes Induced by Social Support	loss	Using fMRI
Automatic	loss	Function Search for Adversarial Unsupervised Domain Adaptation
Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky	loss	Function With L1-Constraint
AutoPedestrian: An Automatic Data Augmentation and	loss	Function Search Scheme for Pedestrian Detection
Average Top-k Aggregate	loss	for Supervised Learning
Axial Sphere	loss	: Encouraging Open-Space Risk Minimization in Face Identification Tasks
Background-Aware Pooling and Noise-Aware	loss	for Weakly-Supervised Semantic Segmentation
Balance-batch: An Optimized Method for Semantic Segmentation	loss	Functions
Balanced Affinity	loss	for Highly Imbalanced Baggage Threat Contour-Driven Instance Segmentation
Balanced Energy Regularization	loss	for Out-of-distribution Detection
Batch feature standardization network with triplet	loss	for weakly-supervised video anomaly detection
Bayes discrimination with mean square error	loss
Bayesian Hybrid	loss	for Hyperspectral SISR Using 3D Wide Residual CNN
Bayesian	loss	for Crowd Count Estimation With Point Supervision
Bayesian polarimetric detector for improved forest	loss	monitoring using dual-polarization Sentinel-1 data
Bayesian Triplet	loss	: Uncertainty Quantification in Image Retrieval
Best Neighborhood Matching: An Information	loss	Restoration Technique for Block Based Image Coding Systems
Better and Faster: Exponential	loss	for Image Patch Matching
Beyond Gradient Descent for Regularized Segmentation	loss	es
Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual	loss
Beyond Noise Suppression: Dynamic Distortion Control	loss	for Speech Enhancement and Robust Automatic Speech Recognition
Beyond Ranking	loss	: Deep Holographic Networks for Multi-Label Video Search
Beyond the Pixel-Wise	loss	for Topology-Aware Delineation
Beyond Triplet	loss	: A Deep Quadruplet Network for Person Re-identification
Beyond Triplet	loss	: Meta Prototypical N-Tuple Loss for Person Re-identification
Beyond Triplet	loss	: Meta Prototypical N-Tuple Loss for Person Re-identification
Beyond Triplet	loss	: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss
Beyond Triplet	loss	: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss
Bi-Center	loss	for Compound Facial Expression Recognition
Bi-Directional Exponential Angular Triplet	loss	for RGB-Infrared Person Re-Identification
Bias	loss	for Mobile Neural Networks
bidirectional fusion branch network with penalty term-based trihard	loss	for person re-identification, A
Block	loss	recovery using fractal extrapolation for fractal coded images
Bokeh-	loss	GAN: Multi-stage Adversarial Training for Realistic Edge-aware Bokeh
Boosting Few-Shot Learning With Adaptive Margin	loss
Bootstrap Generalization Ability from	loss	Landscape Perspective
Bound estimation-based safe acceleration for maximum margin of twin spheres machine with pinball	loss
Bounded exponential	loss	function based AdaBoost ensemble of OCSVMs
Box-Driven Class-Wise Region Masking and Filling Rate Guided	loss	for Weakly Supervised Semantic Segmentation
Box2seg: Attention Weighted	loss	and Discriminative Feature Learning for Weakly Supervised Segmentation
Brain Age Estimation From MRI Using Cascade Networks With Ranking	loss
Breaking the Memory Barrier of Contrastive	loss	via Tile-Based Strategy
Bridging Precision and Confidence: A Train-Time	loss	for Calibrating Object Detection
Bucketed Ranking-based	loss	es for Efficient Training of Object Detectors
Building Detection from Satellite Imagery Using a Composite	loss	Function
Building Extraction Based on U-Net with an Attention Block and Multiple	loss	es
Burst-	loss	-Resilient Packetization of Video
C-	loss	function for pattern classification, The
C2AM	loss	: Chasing a Better Decision Boundary for Long-Tail Object Detection
CAMRL: A Joint Method of Channel Attention and Multidimensional Regression	loss	for 3D Object Detection in Automated Vehicles
Can data placement be effective for Neural Networks classification tasks? Introducing the Orthogonal	loss
CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation	loss
Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema	loss
CAT-DUnet: Enhancing Speech Dereverberation via Feature Fusion and Structural Similarity	loss
Causal Analysis of Accuracy Obtained Using High-Resolution Global Forest Change Data to Identify Forest	loss	in Small Forest Plots
Cbw	loss	: Constrained Bidirectional Weighted Loss for Self-Supervised Learning of Depth and Pose
CC-	loss	: Channel Correlation Loss for Image Classification
CC-	loss	: Channel Correlation Loss for Image Classification
CCPL: Contrastive Coherence Preserving	loss	for Versatile Style Transfer
Cell	loss	concealment and packetization in packet video
Cell-	loss	concealment in ATM video codecs
Cell-	loss	Concealment Technique for MPEG-2 Coded Video, A
Cell-	loss	concealment techniques for layered video codecs in an ATM network
Center Prediction	loss	for Re-identification
Centralized Large Margin Cosine	loss	for Open-Set Deep Palmprint Recognition
Centre-	loss	: A preferred class verification approach over sample-to-sample in self-checkout products datasets
Certainty driven consistency	loss	on multi-teacher networks for semi-supervised learning
Characterizing packet-	loss	impairments in compressed video
Characterizing the Accelerated Global Carbon Emissions from Forest	loss	during 1985-2020 Using Fine-Resolution Remote Sensing Datasets
Chasing clouds: Differentiable volumetric rasterisation of point clouds as a highly efficient and accurate	loss	for large-scale deformable 3D registration
Chebyshev Attention Depth Permutation Texture Network with Latent Texture Attribute	loss
ChipDiff: Staged diffusion model with	loss	gradient guidance for Chinese ink painting style transfer
ChitChat: Making Video Chat Robust to Packet	loss
Chunk incremental learning for cost-sensitive hinge	loss	support vector machine
Circle	loss	: A Unified Perspective of Pair Similarity Optimization
CLAREL: Classification via retrieval	loss	for zero-shot learning
Class Anchor Clustering: A	loss	for Distance-based Open Set Recognition
Class Enhancement	loss	es With Pseudo Labels for Open-Vocabulary Semantic Segmentation
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational	loss	for Hyperspectral Remote Sensing Imagery
Class structure-aware adversarial	loss	for cross-domain human action recognition
Class-Agnostic Segmentation	loss	and Its Application to Salient Object Detection and Segmentation
Class-Balanced	loss	Based on Effective Number of Samples
Class-dependent, non-convex	loss	es to optimize precision
Class-Incremental Semantic Segmentation for Mobile Laser Scanning Point Clouds Using Feature Representation Preservation and	loss	Cross-Coupling
Class-wise Difficulty-balanced	loss	for Solving Class-imbalance
Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical	loss	and Global Pooling
Classifier shared deep network with multi-hierarchy	loss	for low resolution face recognition
clDice: A Novel Topology-Preserving	loss	Function for Tubular Structure Segmentation
Cliffnet for Monocular Depth Estimation with Hierarchical Embedding	loss
ClipSwap: Towards High Fidelity Face Swapping via Attributes and CLIP-Informed	loss
CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair	loss
Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive	loss	Functions
Cloud Removal for Optical Remote Sensing Imagery Using Distortion Coding Network Combined with Compound	loss	Functions
Cluster Triplet	loss	for Unsupervised Domain Adaptation on Histology Images
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization	loss
CNN-Based Patch Matching for Optical Flow with Thresholded Hinge Embedding	loss
CNN-Based Semantic Segmentation Using Level Set	loss
Coarse scale cost-utility approach for efficient unequal	loss	protection
Coarse- and Fine-grained Attention Network with Background-aware	loss	for Crowd Density Map Estimation
Coding and cell-	loss	recovery in DCT-based packet video
Coherent Integration	loss	Due to Nonstationary Phase Noise in High-Resolution Millimeter-Wave Radars
Collective Activity Detection Using Hinge-	loss	Markov Random Fields
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted	loss
Combined center dispersion	loss	function for deep facial expression recognition
Combining of Multiple Deep Networks via Ensemble Generalization	loss	, Based on MRI Images, for Alzheimer's Disease Classification
Compact descriptors for sketch-based image retrieval using a triplet	loss	convolutional neural network
Comparing Correspondences: Video Prediction with Correspondence-wise	loss	es
Comparison of CNNs and Vision Transformers-Based Hybrid Models Using Gradient Profile	loss	for Classification of Oil Spills in SAR Images
Complex	loss	optimization via dual decomposition
Composition	loss	for Counting, Density Map Estimation and Localization in Dense Crowds
Compound	loss	Function With Shape Aware Weight Map for Microscopy Cell Segmentation, A
Comprehensive Study on Center	loss	for Deep Face Recognition, A
Comprehensive Study on	loss	Functions for Cross-Factor Face Recognition, A
Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic	loss
Concealed Attack for Robust Watermarking Based on Generative Model and Perceptual	loss
Concealment of Whole-Picture	loss	in Hierarchical B-Picture Scalable Video Coding
Condense	loss	: Exploiting vector magnitude during person Re-identification training process
Conditional Boundary	loss	for Semantic Segmentation
Cone beam computed tomography enhancement using feature-embedded variational autoencoder with a perceptual	loss	function
Consistent Cell Tracking in Multi-frames with Spatio-Temporal Context by Object-Level Warping	loss
Constraining the Trajectory of Glacier	loss	in the Cordillera Real (Bolivia) via a Time-Evolving Inventory
Constraint	loss	for Rotated Object Detection in Remote Sensing Images
Content-independent and	loss	-pattern-aware distortion evaluation for streaming media
Context-Aware	loss	Function for Action Spotting in Soccer Videos, A
Context-Enriched Contrastive	loss	: Enhancing Presentation of Inherent Sample Connections in Contrastive Learning Framework
Contextual Direct Position Determination for Path	loss	Informed Localization
Contextual	loss	for Image Transformation with Non-aligned Data, The
Continual Learning by Asymmetric	loss	Approximation With Single-Side Overestimation
Continuous Conditional Generative Adversarial Networks: Novel Empirical	loss	es and Label Input Mechanisms
Continuous Detection of Forest	loss	in Vietnam, Laos, and Cambodia Using Sentinel-1 Data
Continuous Monitoring of Fire-Induced Forest	loss	Using Sentinel-1 SAR Time Series and a Bayesian Method: A Case Study in Paragominas, Brazil
Contour Dice	loss	for Structures with Fuzzy and Complex Boundaries in Fetal MRI
Contour	loss	for instance segmentation via k-step distance transformation image
Contour-Aware	loss	: Boundary-Aware Learning for Salient Object Segmentation
Contour-Weighted	loss	for Class-Imbalanced Image Segmentation
Contrasting Forest	loss	and Gain Patterns in Subtropical China Detected Using an Integrated LandTrendr and Machine-Learning Method
Contrastive Feature	loss	for Image Prediction
Contrastive Learning with Image Deformation and Refined NT-Xent	loss	for Urban Morphology Discovery
Contrastive	loss	es Are Natural Criteria for Unsupervised Video Summarization
Contrastive-center	loss	for deep neural networks
Control Distance IoU and Control Distance IoU	loss	for Better Bounding Box Regression
Controllable Fused Semantic Segmentation with Adaptive Edge	loss	for Remote Sensing Parsing
Convolution and Attention Neural Network with MDTW	loss	for Cross-Variable Reconstruction of Remote Sensing Image Series, A
Convolutional Photomosaic Generation via Multi-scale Perceptual	loss	es
Cooperation of Boundary Attention and Negative Matrix L1 Regularization	loss	Function for Polyp Segmentation
Cooperative Adaptive Cruise Control in the Presence of Communication and Radar Stochastic Data	loss
Cooperative Estimation of Path	loss	in Interference Channels Without Primary-User CSI Feedback
Core Power	loss	es Estimation of Wound Core Distribution Transformers with Support Vector Machines
Coronary Artery Centerline Tracking with the Morphological Skeleton	loss
Correcting the Triplet Selection Bias for Triplet	loss
Correction of Simple Contrast	loss	in Color Images
Correlation based universal image/video coding	loss	recovery
Correlation-Induced Negative Suppression Disambiguation	loss	for Partial Multi-Label Image Classification
CosFace: Large Margin Cosine	loss	for Deep Face Recognition
Coulomb Force Inspired	loss	Function for High-Performance Pedestrian Detection, A
COVID-MTL: Multitask learning with Shift3D and random-weighted	loss	for COVID-19 diagnosis and severity assessment
CPNText-DETR: Dynamic contour initialization and normalized	loss	for accurate arbitrarily shaped text detection
CQ+ Training: Minimizing Accuracy	loss	in Conversion From Convolutional Neural Networks to Spiking Neural Networks
Crop	loss	Evaluation Using Digital Surface Models from Unmanned Aerial Vehicles Data
Cross Modal Focal	loss	for RGBD Face Anti-Spoofing
Cross-Domain Matching with Squared-	loss	Mutual Information
Cross-feature Contrastive	loss	for Decentralized Deep Learning on Heterogeneous Data
Cross-Modal Center	loss	for 3D Cross-Modal Retrieval
Crowd counting by the dual-branch scale-aware network with ranking	loss	constraints
Crowd Counting via Segmentation Guided Attention Networks and Curriculum	loss
CT Male Pelvic Organ Segmentation via Hybrid	loss	Network With Incomplete Annotation
Cu-net: Cascaded U-net with	loss	Weighted Sampling for Brain Tumor Segmentation
CUA	loss	: Class Uncertainty-Aware Gradient Modulation for Robust Object Detection
CurricularFace: Adaptive Curriculum Learning	loss	for Deep Face Recognition
Custom Weighted Balanced	loss	function for Covid 19 Detection from an Imbalanced CXR Dataset
Cutout with patch-	loss	augmentation for improving generative adversarial networks against instability
CYBORG: Blending Human Saliency Into the	loss	Improves Deep Learning-Based Synthetic Face Detection
CYFLOD: Cyclic Filtering and	loss	Damping for Alleviating Noisy Labels in Fine-Grained Visual Classification
Data Augmentation Using Corner CutMix and an Auxiliary Self-Supervised	loss
Data-Adaptive	loss	Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation, A
Data-Centric Pruning and Region-Weighted	loss	for Robust Gaze Vector Estimation
Deep Action Unit classification using a binned intensity	loss	and semantic context model
Deep Depth Estimation on 360° Images with a Double Quaternion	loss
Deep Descriptor Learning with Auxiliary Classification	loss	for Retrieving Images of Silk Fabrics in the Context of Preserving European Silk Heritage
Deep embedding learning with adaptive large margin N-pair	loss	for image retrieval and clustering
Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification	loss	for Person Re-Detection, A
Deep Fusion Feature Representation Learning With Hard Mining Center-Triplet	loss	for Person Re-Identification
Deep Gait Relative Attribute using a Signed Quadratic Contrastive	loss
Deep Hashing Using Proxy	loss	on Remote Sensing Image Retrieval
Deep Hashing With Multi-Central Ranking	loss	for Multi-Label Image Retrieval
Deep hashing with triplet quantization	loss
Deep Learning	loss	Function Based on the Perceptual Evaluation of the Speech Quality, A
Deep Learning on Small Datasets without Pre-Training using Cosine	loss
Deep Learning-Based Apple Detection with Attention Module and Improved	loss	Function in YOLO
Deep	loss	Convexification for Learning Iterative Models
Deep	loss	Driven Multi-Scale Hashing Based on Pyramid Connected Network
Deep Metric Learning with Angular	loss
Deep metric learning with dynamic margin hard sampling	loss	for face verification
Deep Metric Learning with Hierarchical Triplet	loss
Deep Metric Learning with Triplet-Margin-Center	loss	for Sketch Face Recognition
Deep Metric Learning With Tuplet Margin	loss
Deep Network Architecture for Super-Resolution-Aided Hyperspectral Image Classification With Classwise	loss	, A
Deep Neural Networks for Quantitative Damage Evaluation of Building	loss	es Using Aerial Oblique Images: Case Study on the Great Wall (China)
Deep Object Tracking With Shrinkage	loss
Deep Regression Tracking with Shrinkage	loss
Deep Representation Learning With Part	loss	for Person Re-Identification
Deep Semantic Parsing of Freehand Sketches With Homogeneous Transformation, Soft-Weighted	loss	, and Staged Learning
Deep Speaker Embedding Using Hybrid Network of Multi-Feature Aggregation and Multi-	loss	Fusion for TI-SV
Deep Supervised Hashing with Information	loss
DeepContour: A deep convolutional feature learned by positive-sharing	loss	for contour detection
DeepFacade: A Deep Learning Approach to Facade Parsing With Symmetric	loss
Deeply Associative Two-Stage Representations Learning Based on Labels Interval Extension	loss	and Group Loss for Person Re-Identification
Deeply Associative Two-Stage Representations Learning Based on Labels Interval Extension	loss	and Group Loss for Person Re-Identification
Deeply-Supervised Networks With Threshold	loss	for Cancer Detection in Automated Breast Ultrasound
DeepSolarEye: Power	loss	Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory	loss	for gaze estimation
Defect Inspection using Gravitation	loss	and Soft Labels
Defining a Threshold Value for Maximum Spatial Information	loss	of Masked Geo-Data
Delay in Arctic Sea Ice Freeze-Up Linked to Early Summer Sea Ice	loss	: Evidence from Satellite Observations
Delving in the	loss	landscape to embed robust watermarks into neural networks
Denoising the high dynamic range imaging process: A comparative study using SNR and detail	loss	criteria
Denoising the Optical Fiber Seismic Data by Using Convolutional Adversarial Network Based on	loss	Balance
dense attention Mamba-based network with Adaptive Sigmoid Fowlkes-Mallows	loss	for enhanced medical image segmentation, A
DENSECL: Haze Mitigation Using Dense Blocks and Contrastive	loss	Regularization
Dermoscopic Image Segmentation Through the Enhanced High-Level Parsing and Class Weighted	loss
Detection Accuracy Improvement on One-Stage Object Detection Using AP-	loss	-Based Ranking Module and ResNet-152 Backbone
Detection and attribution of cereal yield	loss	es using Sentinel-2 and weather data: A case study in South Australia
Detection and Quantification of Vegetation	loss	es with Sentinel-2 Images Using Bi-Temporal Analysis of Spectral Indices and Transferable Random Forest Model
Detection-Identification Balancing Margin	loss	for One-Stage Multi-Object Tracking
Determining Cover Management Factor with Remote Sensing and Spatial Analysis for Improving Long-Term Soil	loss	Estimation in Watersheds
Development and validation of an artificial intelligence software for periodontal bone	loss	in panoramic imaging
Development of an automated method for detecting mammographic masses with a partial	loss	of region
Development of Building Inventory Data in Ulaanbaatar, Mongolia for Seismic	loss	Estimation
devil in the tail: Cluster consolidation plus cluster adaptive balancing	loss	for unsupervised person re-identification, The
Devil is in the Channels: Mutual-Channel	loss	for Fine-Grained Image Classification, The
DGW-YOLOv8: A small insulator target detection algorithm based on deformable attention backbone and WIoU	loss	function
DHA: Supervised Deep Learning to Hash with an Adaptive	loss	Function
Diag-IoU	loss	for Object Detection
Diagonal XOR-Based FEC Method to Improve Burst-	loss	Tolerance for 4K/8K UHDTV Transmission
Differentiable Histogram	loss	Functions for Intensity-based Image-to-Image Translation
Dilated Light-Head R-CNN using tri-center	loss	for driving behavior recognition
DisCo-CLIP: A Distributed Contrastive	loss	for Memory Efficient CLIP Training
Discriminability-enforcing	loss	to improve representation learning
Discriminant Deep Feature Learning based on joint supervision	loss	and Multi-layer Feature Fusion for heterogeneous face recognition
Discriminant Distribution-Agnostic	loss	for Facial Expression Recognition in the Wild
Discriminative Ensemble	loss	for Deep Neural Network on Classification of Ship-Radiated Noise
Discriminative Patch Descriptor Learning With Focal Triplet	loss	Function
Discriminative representation learning for person re-identification via multi-	loss	training
Discriminative Training of Deep Fully Connected Continuous CRFs With Task-Specific	loss
Discrim	loss	: A Universal Loss for Hard Samples and Incorrect Samples Discrimination
Disentangled	loss	for Low-Bit Quantization-Aware Training
Dissecting Deep Metric Learning	loss	es for Image-Text Retrieval
Distance Weighted	loss	for Forest Trail Detection Using Semantic Line
Distance-based	loss	function for deep feature space learning of convolutional neural networks
Distributed Fault-Tolerant Control Strategy for Virtual Coupling Train System Against Measurement Errors and	loss	of Actuator Effectiveness
Distributed Multiple Description Video Coding on Packet	loss	Channels
Distributed Scheduling for Low-Delay and	loss	-Resilient Media Streaming With Network Coding
Distribution Cognisant	loss	for Cross-Database Facial Age Estimation With Sensitivity Analysis
Distribution Consistency	loss	for Large-Scale Remote Sensing Image Retrieval
Distribution-balanced	loss	for Multi-label Classification in Long-tailed Datasets
Distributional Robustness	loss	for Long-tail Learning
Distributionally Robust	loss	for Long-tailed Multi-label Image Classification
DisturbLabel: Regularizing CNN on the	loss	Layer
diversified-equal	loss	for image translation tasks, The
Do Different Deep Metric Learning	loss	es Lead to Similar Learned Features?
Domain Adaptation for Semantic Segmentation With Maximum Squares	loss
Domain-aware triplet	loss	in domain generalization
DPtSTrip: Adversarially robust learning with distance-aware point-to-set triplet	loss
DR	loss	: Improving Object Detection by Distributional Ranking
Dramatic	loss	of Agricultural Land Due to Urban Expansion Threatens Food Security in the Nile Delta, Egypt
Drivers of Forest	loss	in a Megadiverse Hotspot on the Pacific Coast of Colombia
Drop	loss	for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples
DuaFace: Data uncertainty in angular based	loss	for face recognition
Dual Contrastive	loss	and Attention for GANs
Dual Domain Network for MRI Reconstruction Using Gabor	loss	, A
Dual	loss	for Manga Character Recognition with Imbalanced Training Data
DWT-based Video Data Hiding Robust to MPEG Compression And Frame	loss
Dynamic Center Aggregation	loss	With Mixed Modality for Visible-Infrared Person Re-Identification
Dynamic consensus of multi-agent systems under Markov packet	loss	es with defective transition probabilities
Dynamic feature regularized	loss	for weakly supervised semantic segmentation
Dynamic	loss	Balancing and Sequential Enhancement for Road-Safety Assessment and Traffic Scene Classification
Dynamic	loss	for Robust Learning
Dynamic	loss	Reweighting Method Based on Cumulative Classification Scores for Long-Tailed Remote Sensing Image Classification
Dynamic Monitoring Of Soil And Water	loss	es Using Remote Sensing And GIS Techniques: A Case Study Of Jialing River, Yangtze River, China
Dynamically adaptive adjustment	loss	function biased towards few-class learning
Dynamically Mitigating Data Discrepancy with Balanced Focal	loss	for Replay Attack Detection
Dynamics-aware	loss	for learning with label noise
E2IGB: Enhanced effective-information-guided class-balanced	loss	for long-tailed object recognition
Early Labeled and Small	loss	Selection Semi-Supervised Learning Method for Remote Sensing Image Scene Classification
Earthquake-Damaged Buildings Detection in Very High-Resolution Remote Sensing Images Based on Object Context and Boundary Enhanced	loss
Ecological and Environmental Effects of Estuarine Wetland	loss	Using Keyhole and Landsat Data in Liao River Delta, China
Eddy Current Compensation for Gradient Array Coils With Explicit Eddy	loss	Constraints on the Cryostat: An Electromagnetic Approach
EdgeUNet: Edge-Guided Multi-	loss	Network for Drivable Area and Lane Segmentation in Autonomous Vehicles
Effective End-to-End Vision Language Pretraining With Semantic Visual	loss
Effects of Urban Expansion on Forest	loss	and Fragmentation in Six Megaregions, China
Effects of urban tree canopy	loss	on land surface temperature magnitude and timing
Efficient and Accurate Object Detection With Asymmetric Progressive Semi-Decoupled Head and Harmonic Focal	loss
Efficient Bayesian Sequential Classification Under the Markov Assumption for Various	loss	Functions
Efficient Catheter Segmentation in 3D Cardiac Ultrasound using Slice-Based FCN With Deep Supervision and F-Score	loss
Efficient dense attention fusion network with channel correlation	loss	for road damage detection
Efficient Deterministic Search With Robust	loss	Functions for Geometric Model Fitting
Efficient error concealment for the whole-frame	loss	based on H.264/AVC
Efficient Learning for Discriminative Segmentation with Supermodular	loss	es
Efficient	loss	Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks
Efficient Low-Rank Semidefinite Programming With Robust	loss	Functions
Efficient multi-view stereo with depth-aware iterations and hybrid	loss	strategy
Efficient Optimization for Rank-Based	loss	Functions
Efficient packet	loss	protection for JPEG2000 images enabling backward compatibility with a standard decoder
Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant	loss
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance	loss
Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based	loss	es
EL-GAN: Embedding	loss	Driven Generative Adversarial Networks for Lane Detection
ElasticFace: Elastic Margin	loss	for Deep Face Recognition
Electromagnetic Propagation of GPR Signals in Martian Subsurface Scenarios Including Material	loss	es and Scattering
Eliminating Packet	loss	Accumulation in Peer-to-Peer Streaming Systems
Elliptic Energy	loss	for Rotated Object Detection in Aerial Images, The
Encouraging Intra-Class Diversity Through a Reverse Contrastive	loss	for Single-Source Domain Generalization
End-to-end cross-modality retrieval with CCA projections and pairwise ranking	loss
End-to-End Learning for Multimodal Emotion Recognition in Video With Adaptive	loss
End-to-end Triplet	loss	based Emotion Embedding System for Speech Emotion Recognition
Energy-Efficient Communication-Based Train Control Systems With Packet Delay and	loss
enhanced approach for few-shot segmentation via smooth downsampling mask and label smoothing	loss	, An
Enhanced Batch Adaptive Filter Based on Fractional-Order Generalized Cauchy Kernel	loss
Enhanced facial expression manipulation through domain-aware transformation and dual-level classification with expression awarness	loss	in the CLIP space
Enhanced Shuffle Attention with Context Decoupling Head with Wise IoU	loss	for SAR Ship Detection, An
EnhanceFace: Adaptive Weighted SoftMax	loss	for Deep Face Recognition
Enhancement method for multiple description decoding of depth maps subject to random	loss
Enhancing convolutional neural networks for face recognition with occlusion maps and batch triplet	loss
Enhancing feature representation in Siamese networks for object tracking with ranking-based	loss
Enhancing Image Layout Control with	loss	-Guided Diffusion Models
Enhancing Multi-Label Deep Hashing for Image and Audio With Joint Internal Global	loss	Constraints and Large Vision-Language Model
Enhancing Multi-View Stereo with Contrastive Matching and Weighted Focal	loss
Enhancing Text-Based Person Retrieval by Combining Fused Representation and Reciprocal Learning With Adaptive	loss	Refinement
Enlargement or reduction of digital images with minimum	loss	of information
Ensuring quality of service for image transmission: Hybrid	loss	protection
Entropic Optimal Transport	loss	for learning deep neural networks under label noise in remote sensing images, An
Epistemic Uncertainty-Weighted	loss	for Visual Bias Mitigation
Equalization	loss	for Long-Tailed Object Recognition
Equalization	loss	v2: A New Gradient Balance Approach for Long-tailed Object Detection
Equalization	loss	es: Gradient-Driven Training for Long-tailed Object Recognition, The
Equalized Focal	loss	for Dense Long-Tailed Object Detection
Equalized Margin	loss	for Face Recognition, An
ERN: Edge	loss	Reinforced Semantic Segmentation Network for Remote Sensing Images
Error Refactor	loss	based on error analysis in image classification
Error Resilience for Block	loss	with Overlapped Motion Compensation
Estimated Biomass	loss	Caused by the Vaia Windthrow in Northern Italy: Evaluation of Active and Passive Remote Sensing Options
Estimating Leymus chinensis	loss	Caused by Oedaleus decorus asiaticus Using an Unmanned Aerial Vehicle (UAV)
Estimating Snow Water Equivalent with Backscattering at X and Ku Band Based on Absorption	loss
Estimation of accurate effective	loss	rate for FEC video transmission
Estimation of Apple Flowering Frost	loss	for Fruit Yield Based on Gridded Meteorological and Remote Sensing Data in Luochuan, Shaanxi Province, China
Estimation of Soil	loss	es By the Improved Tillage Homogenization Model And Rusle Model
Estimation of Surface Duct Using Ground-Based GPS Phase Delay and Propagation	loss
Euler Characteristic Transform Based Topological	loss	for Reconstructing 3D Images from Single 2D Slices
European Framework for Recording and Sharing Disaster Damage and	loss	Data, A
Evaluating the influence of packet	loss	on visual quality of perception for high bandwidth automotive networks
Evaluating the	loss	es and Recovery of GPP in the Subtropical Mangrove Forest Directly Attacked by Tropical Cyclone: Case Study in Hainan Island
Evaluation of	loss	Functions for Estimation of Latent Vectors from GAN
Evaluation of Soil	loss	by Water in Archaeological Landscapes by Using the (R)usle Model and GIS. The Case Study of Paphos District, Cyprus
Evaluation of temporal variation of video quality in packet	loss	networks
Event Camera Demosaicing via Swin Transformer and Pixel-focus	loss
Evolving	loss	es for Unsupervised Video Representation Learning
Excess Propagation	loss	Modeling of Semiclosed Obstacles for Intelligent Transportation System
Experimental Evaluation of Recent Face Recognition	loss	es for Deepfake Detection, An
Experimental exploration on	loss	surface of deep neural network
Explicit	loss	-Error-Aware Quantization for Low-Bit Deep Neural Networks
Exploiting the Local Parabolic Landscapes of Adversarial	loss	es to Accelerate Black-Box Adversarial Attack
Exploiting Web Images for Fine-Grained Visual Recognition via Dynamic	loss	Correction and Global Sample Selection
Exploiting Web Images for Semantic Video Indexing Via Robust Sample-Specific	loss
Exploring Image Specific Structured	loss	for Image Annotation with Incomplete Labelling
Exploring Visual Vulnerabilities via Multi-	loss	Adversarial Search for Jailbreaking Vision-Language Models
Extending Ordinary-Label Learning	loss	es to Complementary-Label Learning
Extension of Sound Field Image Denoising to High-Frequency Sound Fields by Considering Wavenumber Spectral	loss
Face Protection Based on Optimizing Latent Code Space With Multiple	loss	Function Constraints
Face recognition by landmark pooling-based CNN with concentrate	loss
Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without	loss	framework
Face Video Retrieval Based on the Deep CNN With RBF	loss
Facial Expression Recognition by Multi-Scale CNN with Regularized Center	loss
Facial Expression Recognition in the Wild via Deep Attentive Center	loss
Fair	loss	: Margin-Aware Reinforcement Learning for Deep Face Recognition
FALF ConvNets: Fatuous auxiliary	loss	based filter-pruning for efficient deep CNNs
Fast and Accurate Image Super-Resolution Using a Combined	loss
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive	loss	Function
Fast and robust visual tracking with hard balanced focal	loss	and guided domain adaption
Fast generalized ramp	loss	support vector machine for pattern classification
Fast mode decision for H.264 video coding in packet	loss	environment
Fast Signal Recovery From Saturated Measurements by Linear	loss	and Nonconvex Penalties
Feature Enhancement and Fusion for Image-Based Particle Matter Estimation With F-MSE	loss
Feature Pyramid Reconfiguration With Consistent	loss	for Object Detection
Feature selection based on	loss	-margin of nearest neighbor classification
Feature-Guided Instance Mining and Task-Aligned Focal	loss	for Weakly Supervised Object Detection in Remote Sensing Images
Feature-metric	loss	for Self-supervised Learning of Depth and Egomotion
Featureless 2D-3D pose estimation by minimising an illumination-invariant	loss
Feedback-driven	loss	function for small object detection
Few-shot NeRF by Adaptive Rendering	loss	Regularization
FHLight: A novel method of indoor scene illumination estimation using improved	loss	function
Finding Structure in Point Cloud Data with the Robust Isoperimetric	loss
Finding the best not the most: regularized	loss	minimization subgraph selection for graph classification
Finding Your (3D) Center: 3d Object Detection Using a Learned	loss
Fine-Grained Image Classification With Global Information and Adaptive Compensation	loss
Fine-Grained Image Retrieval via Piecewise Cross Entropy	loss
Fine-Grained Spatial Alignment Model for Person Re-Identification With Focal Triplet	loss
Fine-Grained Spatial and Verbal	loss	es for 3D Visual Grounding
Finger Vein Recognition and Intra-Subject Similarity Evaluation of Finger Veins using the CNN Triplet	loss
First Agriculture Land Use Map in Vietnam Using an Adaptive Weighted Combined	loss	Function for UNET++
First Assessment of Canopy Cover	loss	in Germany's Forests after the 2018-2020 Drought Years, A
Fitting Generalized Multivariate Huber	loss	Functions
Fixed simplex coordinates for angular margin	loss	in CapsNet
Fixing Defect of Photometric	loss	for Self-Supervised Monocular Depth Estimation
Flatten Long-Range	loss	Landscapes for Cross-Domain Few-Shot Learning
Flatter	loss	for Bias Mitigation in Cross-dataset Facial Age Estimation, A
Flow-PLC: Towards Efficient Packet	loss	Concealment with Flow Matching
Flow	loss	: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models
FlowNet3D++: Geometric	loss	es For Deep Scene Flow Estimation
Focal Combo	loss	for Improved Road Marking Extraction of Sparse Mobile LiDAR Scanning Point Cloud-Derived Images Using Convolutional Neural Networks
Focal Frequency	loss	for Image Reconstruction and Synthesis
Focal	loss	dense detector for vehicle surveillance
Focal	loss	for Dense Object Detection
Focal Text: an Accurate Text Detection with Focal	loss
Focus Is All You Need:	loss	Functions for Event-Based Vision
Forest	loss	Related to Brazil Nut Production in Non-Timber Forest Product Concessions in a Micro-Watershed in the Peruvian Amazon
Forming Auxiliary High-confident Instance-level	loss	to Promote Learning from Label Proportions
Fourier Descriptor	loss	and Polar Coordinate Transformation for Pericardium Segmentation
Fourier Space	loss	es for Efficient Perceptual Image Super-Resolution
FPC-Net: Learning to detect face forgery by adaptive feature fusion of patch correlation with CG-	loss
FPDIoU	loss	: A loss function for efficient bounding box regression of rotated object detection
FPDIoU	loss	: A loss function for efficient bounding box regression of rotated object detection
Frame	loss	concealment for 3D video decoders based on disparity-compensated motion field
Frame	loss	concealment for stereoscopic video based on inter-view similarity of motion and intensity difference
Frame	loss	visibility modeling of stereoscopic video for H.264/AVC-MVC
Frequency Domain Transformation and	loss	Adjustment for Enhancing Transferability of Adversarial Examples
Frequency Feature Pyramid Network With Global-Local Consistency	loss	for Crowd-and-Vehicle Counting in Congested Scenes
Frequency-aware Discriminative Feature Learning Supervised by Single-Center	loss	for Face Forgery Detection
From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized	loss	and Customized Soft Labels
Full-Reference Video Quality Assessment by Decoupling Detail	loss	es and Additive Impairments
Fusion of multiple fingerprint matchers by single-layer perceptron with class-separation	loss	function
Fuzzy set-based Bernoulli Random Noise Weighted	loss	for unsupervised person re-identification
Fuzzy-Logic Congestion Control of Transcoded Video Streaming Without Packet	loss	Feedback
GAL: Geometric Adversarial	loss	for Single-View 3D-Object Reconstruction
GamutMLP: A Lightweight MLP for Color	loss	Recovery
GAN-based person search via deep complementary classifier with center-constrained Triplet	loss
Gap	loss	: A Loss Function for Semantic Segmentation of Roads in Remote Sensing Images
GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature	loss
Gatha: Relational	loss	for enhancing text-based style transfer
Gaussian error	loss	function for image smoothing
General and Adaptive Robust	loss	Function, A
Generalization Matters:	loss	Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
Generalized Characteristic Function	loss	for Crowd Analysis in the Frequency Domain
Generalized Face Anti-Spoofing via Multi-Task Learning and One-Side Meta Triplet	loss
Generalized Focal	loss	V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
Generalized Focal	loss	: Towards Efficient Representation Learning for Dense Object Detection
Generalized Intersection Over Union: A Metric and a	loss	for Bounding Box Regression
Generalized	loss	Based Geometric Unscented Kalman Filter for Robust Power System Forecasting-Aided State Estimation
Generalized	loss	Function for Crowd Counting and Localization, A
Generalized	loss	-Sensitive Adversarial Learning with Manifold Margins
Generalized multiple description coding through unequal	loss	protection
Generating Realistic Urban Patterns: A Controllable cGAN Approach with Hybrid	loss	Optimization
Generation of High Temporal Resolution Fractional Forest Cover Data and Its Application in Accurate Time Detection of Forest	loss
Generative Adversarial Network Using Weighted	loss	Map and Regional Fusion Training for LDR-to-HDR Image Conversion
Generative Adversarial Network-Based Image Super-Resolution Using Perceptual Content	loss	es
Generative Adversarial Networks and Perceptual	loss	es for Video Super-Resolution
Generative image deblurring based on multi-scaled residual adversary network driven by composed prior-posterior	loss
Generative Model-Based	loss	to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation
Generic Perceptual	loss	for Modeling Structured Output Dependencies
Geometric insights into focal	loss	: Reducing curvature for enhanced model calibration
Geometric	loss	Functions for Camera Pose Regression with Deep Learning
Geometric Mean Improves	loss	For Few-Shot Learning
Geometry	loss	Combination for 3D Human Pose Estimation, A
Geometry-Aware Guided	loss	for Deep Crack Recognition
Geospatial Analysis of the Building Heat Demand and Distribution	loss	es in a District Heating Network
Geospatial Assessment of Soil Erosion Intensity and Sediment Yield Using the Revised Universal Soil	loss	Equation (RUSLE) Model
Geospatial Impacts of Land Allotment at the Standing Rock Reservation, USA: Patterns of Gain and	loss
Geospatial Technology Based Soil	loss	Estimation for Sustainable Urban Development of Butwal Submetropolitan City, Nepal
Gicoface: Global Information-Based Cosine Optimal	loss	for Deep Face Recognition
Giving	loss	a personal course: Universal loss reweighting to improve stereo matching via uncertainty guidance
Giving	loss	a personal course: Universal loss reweighting to improve stereo matching via uncertainty guidance
Glacier ice	loss	monitored through the Planet cubesat constellation
Glacier Mass	loss	during the 1960s and 1970s in the Ak-Shirak Range (Kyrgyzstan) from Multiple Stereoscopic Corona and Hexagon Imagery
Glacier Mass	loss	Simulation Based on Remote Sensing Data: A Case Study of the Yala Glacier and the Qiyi Glacier in the Third Pole
GLaMa: Joint Spatial and Frequency	loss	for General Image Inpainting
Global Cross-Entropy	loss	for Deep Face Recognition
Global Mangrove Watch: Monthly Alerts of Mangrove	loss	for Africa
Global Optimization: Combining Local	loss	With Result Ranking Loss in Remote Sensing Image Retrieval
Global Optimization: Combining Local	loss	With Result Ranking Loss in Remote Sensing Image Retrieval
Grad-FEC: Unequal	loss	Protection of Deep Features in Collaborative Intelligence
Gradient-Aware	loss	Function for Improved Learning in Speech Enhancement
Gradient-Guided Joint Representation	loss	With Adaptive Neck for Train Crash Detection
Graph Cuts	loss	to Boost Model Accuracy and Generalizability for Medical Image Segmentation
Graph Grouping	loss	for Metric Learning of Face Image Representations
Graph Pattern	loss	Based Diversified Attention Network For Cross-Modal Retrieval
Graphical Contrastive	loss	es for Scene Graph Parsing
Gray Augmentation Exploration with All-Modality Center-Triplet	loss	for Visible-Infrared Person Re-Identification
Grid	loss	: Detecting Occluded Faces
Ground-to-Aerial Image Geo-Localization With a Hard Exemplar Reweighting Triplet	loss
Group	loss	for Deep Metric Learning, The
Group	loss	++: A Deeper Look Into Group Loss for Deep Metric Learning, The
Group	loss	++: A Deeper Look Into Group Loss for Deep Metric Learning, The
Group Softmax	loss	with Discriminative Feature Grouping
Group-Group	loss	-Based Global-Regional Feature Learning for Vehicle Re-Identification
Guardian of the Ensembles: Introducing Pairwise Adversarially Robust	loss	for Resisting Adversarial Attacks in DNN Ensembles
Gully Erosion Monitoring Based on Semi-Supervised Semantic Segmentation with Boundary-Guided Pseudo-Label Generation Strategy and Adaptive	loss	Function
HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP	loss
Handling packet	loss	in WebRTC
Hard Samples Based Margin	loss	for Face Verification
Hard-Negatives or Non-Negatives? A Hard-Negative Selection Strategy for Cross-Modal Retrieval Using the Improved Marginal Ranking	loss
HD-YOLO: Using radius-aware	loss	function for head detection in top-view fisheye images
HeadPose-Softmax: Head pose adaptive curriculum learning	loss	for deep face recognition
Hierarchical Clustering With Hard-Batch Triplet	loss	for Person Re-Identification
Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise	loss
Hierarchical Equalization	loss	for Long-Tailed Instance Segmentation
Hierarchical Proxy-based	loss	for Deep Metric Learning
High Spatiotemporal Estimation of Reservoir Evaporation Water	loss	by Integrating Remote-Sensing Data and the Generalized Complementary Relationship
High-level prior-based	loss	functions for medical image segmentation: A survey
high-performance insulators location scheme based on YOLOv4 deep learning network with GDIoU	loss	function, A
High-Quality Virtual View Synthesis for Light Field Cameras Using Multi-	loss	Convolutional Neural Networks
High-Resolution Image Dehazing with Respect to Training	loss	es and Receptive Field Sizes
Hinge	loss	bound approach for surrogate supervision multi-view learning
Homography	loss	for Monocular 3D Object Detection
Human Pose Estimation with Shape Aware	loss
Human-Scene Network: A novel baseline with self-rectifying	loss	for weakly supervised video anomaly detection
HVS-Inspired Attention to Improve	loss	Metrics for CNN-Based Perception-Oriented Super-Resolution, A
Hybrid cell	loss	concealment methods for MPEG-II-based packet video
Hybrid CNN and SVM model for Alzheimer's disease classification using categorical focal	loss	function
Hybrid	loss	for Multiclass and Structured Prediction, A
Hybrid	loss	Network for Localization of Image Manipulation, A
Hybrid	loss	with Network Trimming for Disease Recognition in Gastrointestinal Endoscopy
Hypergraph-Induced Semantic Tuplet	loss	for Deep Metric Learning
Hyperparameter-Free	loss	es for Model-Based Monocular Reconstruction
Hyperspectral image classification via discriminative convolutional neural network with an improved triplet	loss
Hyperspectral Unmixing Using Orthogonal Sparse Prior-Based Autoencoder With Hyper-Laplacian	loss	and Data-Driven Outlier Detection
Ice	loss	Evaluation of Lake-Terminating Glaciers Based on Lake Bathymetry: A Case Study of the Jiongpu Glacier, An
Identification of Factors Influencing Locations of Tree Cover	loss	and Gain and Their Spatio-Temporally-Variant Importance in the Li River Basin, China
Identifying Label Errors in Object Detection Datasets by	loss	Inspection
Identifying Reservoirs and Estimating Evaporation	loss	es in a Large Arid Inland Basin in Northwestern China
Identity Preserving	loss	for Learned Image Compression
IGNORE: Information Gap-based False Negative	loss	Rejection for Single Positive Multi-label Learning
IHEM	loss	: Intra-Class Hard Example Mining Loss for Robust Face Recognition
IHEM	loss	: Intra-Class Hard Example Mining Loss for Robust Face Recognition
Image Clustering via Deep Embedded Dimensionality Reduction and Probability-Based Triplet	loss
Image Dehazing by Joint Estimation of Transmittance and Airlight Using Bi-Directional Consistency	loss	Minimized FCN
Image Inpainting with Information	loss	Reduction and Texture-Structure Feature Fusion
Image Quality Assessment Based on Harmonics Gain/	loss	Information
Image Quality Assessment by Separately Evaluating Detail	loss	es and Additive Impairments
Image Retrieval Based on Learning to Rank and Multiple	loss
Image Super-Resolution Using CNN Optimised By Self-Feature	loss
Imbalance-Aware Adaptive Margin	loss	for Fair Multi-Label Face Attribute Recognition
Imbalance-XGBoost: leveraging weighted and focal	loss	es for binary label-imbalanced classification with XGBoost
Imbalanced Underwater Acoustic Target Recognition with Trigonometric	loss	and Attention Mechanism Convolutional Network
ImDeeplabV3plus with instance selective whitening	loss	in domain generalization semantic segmentation
Impact of Arable Land Abandonment on Crop Production	loss	es in Ukraine During the Armed Conflict
Impact of Data	loss	for Prediction of Traffic Flow on an Urban Road Using Neural Networks
Impact of LiDAR beam	loss	on 3D object detection: A systematic analysis of vulnerable road user safety
Impact of Packet	loss	and Google Congestion Control on QoE for WebRTC-Based Mobile Multiparty Audiovisual Telemeetings, The
Impact of Random and Burst Packet	loss	es on H.264 Scalable Video Coding
Impacts of Climate Change, Glacier Mass	loss	and Human Activities on Spatiotemporal Variations in Terrestrial Water Storage of the Qaidam Basin, China
Impacts of Farmland	loss	on Regional Food Self-Sufficiency in Yangtze River Delta Urban Agglomeration over Last Two Decades, The
Improved channel attention methods via hierarchical pooling and reducing information	loss
Improved cross entropy	loss	for noisy labels in vision leaf disease classification
Improved fine-grained object retrieval with Hard Global Softmin	loss	objective
Improved interview video error concealment on whole frame packet	loss
Improved LPI Radar Waveform Recognition Framework With LDC-Unet and SSR-	loss	, An
Improved Model Structure with Cosine Margin OIM	loss	for End-to-end Person Search
Improved model-free adaptive predictive control-based cooperative driving control for connected and automated vehicles subject to time-varying communication delays and packet	loss	es at signal-free intersections
improved noise	loss	correction algorithm for learning from noisy labels, An
Improved Out-of-Distribution Detection with Additive Angular Margin	loss
Improved Resilience for Video Over Packet	loss	Networks With MDC and Optimized Packetization
Improved triplet	loss	for domain adaptation
Improving adversarial transferability and imperceptibility with	loss	landscape and diffusion model
Improving Estimation of Forest Canopy Cover by Introducing	loss	Ratio of Laser Pulses Using Airborne LiDAR
Improving Face Recognition from Hard Samples via Distribution Distillation	loss
Improving face representation learning with center invariant	loss
Improving Image Coding for Machines Through Optimizing Encoder Via Auxiliary	loss
Improving Image-based Localization with Deep Learning: The Impact of the	loss	Function
Improving metric-based few-shot learning with dynamically scaled softmax	loss
Improving multiclass classification by deep networks using DAGSVM and Triplet	loss
Improving Object Localization with Fitness NMS and Bounded IoU	loss
Improving Point Cloud Based Place Recognition with Ranking-based	loss	and Large Batch Training
Improving Representation Consistency with Pairwise	loss	for Masked Face Recognition
Improving retinal vessel segmentation with joint local	loss	by matting
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional	loss
Improving Slice-Based Model for Person Re-ID with Multi-Level Representation and Triplet-Center	loss
Improving Text-image Matching with Adversarial Learning and Circle	loss	for Multi-modal Steganography
Improvised contrastive	loss	for improved face recognition in open-set nature
In Defense of the Triplet	loss	Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation
In Defense of the Triplet	loss	Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation
Incomplete Descriptor Mining With Elastic	loss	for Person Re-Identification
Increased Mass	loss	of Glaciers in the Sawir Mountains of Central Asia between 1959 and 2021
Indirect Adversarial	loss	es via an Intermediate Distribution for Training GANs
Inferring Mass	loss	by Measuring Contemporaneous Deformation around the Helheim Glacier, Southeastern Greenland, Using Sentinel-1 InSAR
Influence Function Based Second-Order Channel Pruning: Evaluating True	loss	Changes for Pruning is Possible Without Retraining
Influence-Balanced	loss	for Imbalanced Visual Classification
Information	loss	and reconstruction in diffuse fluorescence tomography
Information	loss	of the Mahalanobis Distance in High Dimensions: Application to Feature Selection
Information	loss	recovery for block-based image coding techniques: A fuzzy logic approach
Information	loss	-Guided Multi-Resolution Image Fusion
Ingredient Prediction via Context Learning Network with Class-Adaptive Asymmetric	loss
Instance Enhancing	loss	: Deep Identity-Sensitive Feature Embedding for Person Search
Instance Segmentation of Indoor Scenes Using a Coverage	loss
Insuring Alpine Grasslands against Drought-Related Yield	loss	es Using Sentinel-2 Satellite Data
Integrated Method Combining Remote Sensing Data and Local Knowledge for the Large-Scale Estimation of Seismic	loss	Risks to Buildings in the Context of Rapid Socioeconomic Growth: A Case Study in Tangshan, China, An
Integration graph attention network and multi-centre constrained	loss	for cross-modality person re-identification
Inter-class angular margin	loss	for face recognition
Interpretable Target-Aware Vision Transformer for Polarimetric HRRP Target Recognition with a Novel Attention	loss	, An
Intra-frame	loss	concealment based on directional extrapolation
Intra-Modal Constraint	loss	for Image-Text Retrieval
Introducing Euclidean distance optimization into Softmax	loss	under neural collapse
InverseForm: A	loss	Function for Structured Boundary-Aware Segmentation
Investigating	loss	Functions for Extreme Super-Resolution
Investigation into the effects of transmission-channel fidelity	loss	in RGBD sensor data for SLAM
IoU	loss	for 2D/3D Object Detection
IoU-Balanced	loss	functions for single-stage object detection
IPNet: An Interpretable Network With Progressive	loss	for Whole-Stage Colorectal Disease Diagnosis
IPT-ILR: Image Pyramid Transformer Coupled With Information	loss	Regularization for All-in-One Image Restoration
Island	loss	for Learning Discriminative Features in Facial Expression Recognition
Isolating Anthropogenic Wetland	loss	by Concurrently Tracking Inundation and Land Cover Disturbance across the Mid-Atlantic Region, U.S.
Isotonic Modeling with Non-Differentiable	loss	Functions with Application to Lasso Regularization
Joint Geometry-Attribute Point Cloud Compression with Spatial Context Mining and Dual-Class Attribute	loss
Joint identification-verification for person re-identification: A four stream deep learning approach with improved quartet	loss	function
Joint Intra and Multiple Description Coding for Packet	loss	Resilient Video Transmission
Joint Optimization	loss	Function for Tiny Object Detection in Remote Sensing Images
Joint source-channel coding optimization with packet	loss	resilience for video transmission
Jumping through Local Minima: Quantization in the	loss	Landscape of Vision Transformers
Kernel Mean P Power Error	loss	for Robust Two-Dimensional Singular Value Decomposition
Kernel Square-	loss	Exemplar Machines for Image Retrieval
Key Point Sensitive	loss	for Long-Tailed Visual Recognition
Knot Magnify	loss	for Face Recognition
KuRALS: Ku-Band Radar Datasets for Multi-Scene Long-Range Surveillance with Baselines and	loss	Design
L1RR: Model Pruning Using Dynamic and Self-Adaptive Sparsity for Remote-Sensing Target Detection to Prevent Target Feature	loss
L3AM: Linear Adaptive Additive Angular Margin	loss	for Video-Based Hand Gesture Authentication
Label Smoothing Auxiliary Classifier Generative Adversarial Network with Triplet	loss	for SAR Ship Classification
Land Cover Classification from Satellite Imagery with U-Net and Lovasz-Softmax	loss
Landmark-Based Fast LIP Reading with CTC	loss
landmarks-assisted diffusion model with heatmap-guided denoising	loss	for high-fidelity and controllable facial image generation, A
Language Person Search with Pair-based Weighting	loss
Large	loss	Matters in Weakly Supervised Multi-Label Classification
Large Scale Image Segmentation with Structured	loss	Based Deep Learning for Connectome Reconstruction
Large-scale Robust Deep AUC Maximization: A New Surrogate	loss	and Empirical Studies on Medical Image Classification
Layer-Wise Customized Weak Segmentation Block and AIoU	loss	for Accurate Object Detection
Layered Internet Video Adaptation (LIVA): Network-Assisted Bandwidth Sharing and Transient	loss	Protection for Video Streaming
Layered unequal	loss	protection with pre-interleaving for progressive image transmission over packet loss channels
Layered unequal	loss	protection with pre-interleaving for progressive image transmission over packet loss channels
Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting	loss
Learning Deep Embeddings via Margin-Based Discriminate	loss
Learning Descriptors With Cube	loss	for View-Based 3-D Object Retrieval
Learning discriminative features via weights-biased softmax	loss
Learning Embeddings for Image Clustering: An Empirical Study of Triplet	loss	Approaches
Learning Imbalanced Datasets With Maximum Margin	loss
Learning Intrinsic Image Decomposition by Deep Neural Network with Perceptual	loss
Learning Joint Gait Representation via Quintuplet	loss	Minimization
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global	loss	Functions
Learning	loss	for Active Learning
Learning mean progressive scattering using binomial truncated	loss	for image dehazing
Learning Metric Features for Writer-Independent Signature Verification using Dual Triplet	loss
Learning Multiple Pixelwise Tasks Based on	loss	Scale Balancing
Learning Neural Networks with Ranking-Based	loss	es for Action Retrieval
Learning Quintuplet	loss	for Large-Scale Visual Geolocalization
Learning robust descriptors with probabilistic embedding and reliability-aware triplet	loss
Learning Soft Estimator of Keypoint Scale and Orientation with Probabilistic Covariant	loss
Learning Superpixels with Segmentation-Aware Affinity	loss
Learning Symbolic Model-Agnostic	loss	Functions via Meta-Learning
Learning the Relation Between Similarity	loss	and Clustering Loss in Self-Supervised Learning
Learning the Relation Between Similarity	loss	and Clustering Loss in Self-Supervised Learning
Learning to Measure the Point Cloud Reconstruction	loss	in a Representation Space
Learning to optimize unsupervised image fusion with learnable	loss	and fusion strategy
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task	loss
Learning With Average Precision: Training Image Retrieval With a Listwise	loss
Learning With Batch-Wise Optimal Transport	loss	for 3D Shape Recognition
Learning With Learned	loss	Function: Speech Enhancement With Quality-Net to Improve Perceptual Evaluation of Speech Quality
Learning-Based Image Compression With Parameter-Adaptive Rate-Constrained	loss
Left Barrier	loss	for Unbiased Survival Analysis Prediction
Lercpose: Learned Ranking and Contrastive	loss	for Robust Head Pose Estimation
Less is Better: Exponential	loss	for Cross-Modal Matching
Level Ratio Based Inter and Intra Channel Prediction with Application to Stereo Audio Frame	loss	Concealment
Leveraging triplet	loss	for unsupervised action segmentation
Leveraging Uncertainty to Rethink	loss	Functions and Evaluation Measures for Egocentric Action Anticipation
Lidar-Imagery Fusion Reveals Rapid Coastal Forest	loss	in Delaware Bay Consistent with Marsh Migration
lightness-aware	loss	for low-light image enhancement, A
Linear classifier combination and selection using group sparse regularization and hinge	loss
Linear-Covariance	loss	for End-to-End Learning of 6D Pose Estimation
LinkNet-Spectral-Spatial-Temporal Transformer Based on Few-Shot Learning for Mangrove	loss	Detection with Small Dataset
Local Image Descriptors with Statistical	loss	es
Localized Triplet	loss	for Fine-grained Fashion Image Retrieval
LOL: Learning To Optimize	loss	Switching Under Label Noise
Long-Tailed Instance Segmentation Using Gumbel Optimized	loss
Long-Term	loss	of Coral Reef in the Gulf of Aqaba Estimated from Historical Aerial Images
Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven	loss
	loss	Adaptive Curriculum Learning for Ground-Based Cloud Detection
	loss	Decomposition and Centroid Estimation for Positive and Unlabeled Learning
	loss	factors for learning Boosting ensembles from imbalanced data
	loss	Function Design for Data-Driven Predictors to Enhance the Energy Efficiency of Connected and Automated Vehicles
	loss	function search for person re-identification
	loss	functions for pose guided person image generation
	loss	Functions for Top-k Error: Analysis and Insights
	loss	Functions, Triplet Loss Function, Deep Learning, Neural Netowrks
	loss	Functions, Triplet Loss Function, Deep Learning, Neural Netowrks
	loss	Guided Activation for Action Recognition in Still Images
	loss	Max-Pooling for Semantic Image Segmentation
	loss	of Significance and Its Effect on Point Normal Orientation and Cloud Registration
	loss	Re-Scaling VQA: Revisiting the Language Prior Problem From a Class-Imbalance View
	loss	Rescaling by Uncertainty Inference For Single-Stage Object Detection
	loss	resilient H.263+ video over the Internet
	loss	reweight in scale dimension: A simple while effective feature selection strategy for anchor-free detectors
	loss	Surface of Deep Linear Networks Viewed Through the Algebraic Geometry Lens, The
	loss	Switching Fusion with Similarity Search for Video Classification
	loss	Visibility Optimized Real-Time Video Transmission Over MIMO Systems
	loss	-aware automatic selection of structured pruning criteria for deep neural network acceleration
	loss	-Aware Data Augmentation With Dynamic Trimming and Weighting for Underwater Acoustic Target Classification
	loss	-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks
	loss	-Resilient Coding of Texture and Depth for Free-Viewpoint Video Conferencing
	loss	-Sensitive Generative Adversarial Networks on Lipschitz Densities
	loss	-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art
Lovasz Hinge: A Novel Convex Surrogate for Submodular	loss	es, The
Lovasz-Softmax	loss	: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks, The
Low Complexity Progressive Bitstream Transmission System for Hybrid Channels with Correlated	loss	, A
Low Contrast Infrared Target Detection Method Based on Residual Thermal Backbone Network and Weighting	loss	Function
Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual	loss
LRHW-AP: Using ranking-based metric as	loss	for Person Re-Identification
Maintaining Natural Image Statistics with the Contextual	loss
Making Deep Neural Networks Robust to Label Noise: A	loss	Correction Approach
Map Feature Perception Metric for Map Generation Quality Assessment and	loss	Optimization
Mapping Annual Tidal Flat	loss	and Gain in the Micro-Tidal Area Integrating Dual Full-Time Series Spectral Indices
Margin	loss	Based on Adaptive Metric for Image Recognition
Margin	loss	: Making Faces More Separable
Margin	loss	es for Training Conditional Random Fields
Marginal	loss	for Deep Face Recognition
Marsh	loss	Due to Cumulative Impacts of Hurricane Isaac and the Deepwater Horizon Oil Spill in Louisiana
MarsTerrNet: A U-Shaped Dual-Backbone Framework with Feature-Guided	loss	for Martian Terrain Segmentation
Masked Face Recognition Method with Arcface Fusion of Attention and Focal	loss
Mathematical Analysis of Learning	loss	for Active Learning in Regression, A
Matrix-Similarity Based	loss	Function and Feature Selection for Alzheimer's Disease Diagnosis
MCP-Net: Introducing Patlak	loss	Optimization to Whole-Body Dynamic PET Inter-Frame Motion Correction
Mean-Variance	loss	for Deep Age Estimation from a Face
Mean-Variance	loss	for Monocular Depth Estimation
MELTR: Meta	loss	Transformer for Learning to Fine-tune Video Foundation Models
MES-	loss	: Mutually equidistant separation metric learning loss function
MES-	loss	: Mutually equidistant separation metric learning loss function
Meta Learning via Learned	loss
Meta-Learning with Task-Adaptive	loss	Function for Few-Shot Learning
Meta-Tuning	loss	Functions and Data Augmentation for Few-Shot Object Detection
MetaCorrection: Domain-aware Meta	loss	Correction for Unsupervised Domain Adaptation in Semantic Segmentation
MetaCOVID: A Siamese neural network framework with contrastive	loss	for n-shot diagnosis of COVID-19 patients
MetaSSL: A General Heterogeneous	loss	for Semi-Supervised Medical Image Segmentation
Metu	loss	: Metric Learning With Entangled Triplet Unified Loss
Metu	loss	: Metric Learning With Entangled Triplet Unified Loss
MFFA-SARNET: Deep Transferred Multi-Level Feature Fusion Attention Network with Dual Optimized	loss	for Small-Sample SAR ATR
Minimized Database of Unit Selection in Visual Speech Synthesis without	loss	of Naturalness
Minimum Margin	loss	for Deep Face Recognition
Misalignment-Robust Frequency Distribution	loss	for Image Transformation
Mitigation of Visibility	loss	for Advanced Camera-Based Driver Assistance
Mixability of integral	loss	es: A key to efficient online aggregation of functional and probabilistic forecasts
Mixture separability	loss	in a deep convolutional network for image classification
MKANet: An Efficient Network with Sobel Boundary	loss	for Land-Cover Classification of Satellite Remote Sensing Imagery
Modeling and Analysis of Distortion Caused by Markov-Model Burst Packet	loss	es in Video Transmission
Modeling and Simulation of HF Band Transmission	loss	Over China Oceans
Modeling Inter and Intra-Class Relations in the Triplet	loss	for Zero-Shot Learning
Modeling of packet-	loss	-induced distortion in 3-D synthesized views
Modeling of Transmission-	loss	-Induced Distortion in Decoded Video
modified contrastive	loss	method for face recognition, A
Monitoring and Assessment of Wetland	loss	and Fragmentation in the Cross-Boundary Protected Area: A Case Study of Wusuli River Basin
Monitoring And Estimation of Soil	loss	es From Ephemeral Gully Erosion In Mediterranean Region Using Low Altitude Unmanned Aerial Vehicles
Monitoring forest cover	loss	using multiple data streams, a case study of a tropical dry forest in Bolivia
Monitoring Forest	loss	in ALOS/PALSAR Time-Series with Superpixels
Monocular 3D object detection via Mask-Revised Network and quality perception	loss
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian	loss
Monocular depth estimation with SPN	loss
More Balanced	loss	-Reweighting Method for Long-Tailed Traffic Sign Detection and Recognition, A
MotiF: Making Text Count in Image Animation with Motion Focal	loss
Multi proxy anchor family	loss	for several types of gradients
Multi-Channel Multi-	loss	Deep Learning Based Compression Model of Color Images
Multi-class Cell Segmentation Using CNNs with F1-measure	loss	Function
multi-class COVID-19 segmentation network with pyramid attention and edge	loss	in CT images, A
Multi-Class Hinge	loss	for Conditional GANs, A
Multi-Class Object Counting Network With Adaptive Class Alignment	loss	for Remote Sensing Images
Multi-Class Smoothed Hinge	loss	Function in Pre-Training for Transfer Learning
Multi-complementary and unlabeled learning for arbitrary	loss	es and models
Multi-FoV Viewport-Based Visual Saliency Model Using Adaptive Weighting	loss	es for 360° Images, A
Multi-hypothesis-Based Error Concealment for Whole Frame	loss	in HEVC
Multi-Illumination Fusion With Crack Enhancement Using Cycle-Consistent	loss	es
Multi-label Classification with Partial Annotations using Class-aware Selective	loss
Multi-label Contrastive Focal	loss	for Pedestrian Attribute Recognition
Multi-Label Speech Emotion Recognition via Inter-Class Difference	loss	Under Response Residual Network
Multi-level Deep Learning Vehicle Re-identification using Ranked-based	loss	Functions
Multi-level feature fusion and multi-	loss	learning for person Re-Identification
Multi-	loss	Rebalancing Algorithm for Monocular Depth Estimation
Multi-	loss	Regularized Deep Neural Network
Multi-	loss	Spatial-Temporal Attention-Convolution Network for Action Tube Detection
Multi-	loss	Weighting with Coefficient of Variations
Multi-	loss	-Aware Channel Pruning of Deep Networks
Multi-Resolution Supervision Network with an Adaptive Weighted	loss	for Desert Segmentation
Multi-ROI Human Mesh Recovery with Camera Consistency and Contrastive	loss	es
Multi-scale and Multi-stage Deraining Network with Fourier Space	loss
Multi-Scale Pathological Fluid Segmentation in OCT With a Novel Curvature	loss	in Convolutional Neural Network
Multi-scale Processing of Noisy Images using Edge Preservation	loss	es
Multi-Scale Spectral	loss	Revisited
Multi-Similarity	loss	With General Pair Weighting for Deep Metric Learning
Multi-spectral multi-image super-resolution of Sentinel-2 with radiometric consistency	loss	es and its effect on building delineation
Multi-Stream Fusion Network With Generalized Smooth L1	loss	for Single Image Dehazing
Multi-Task Deep Model With Margin Ranking	loss	for Lung Nodule Analysis
Multi-task Learning Using Uncertainty to Weigh	loss	es for Scene Geometry and Semantics
Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific	loss	Functions
Multi-view Consistency	loss	for Improved Single-image 3d Reconstruction of Clothed People
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting	loss	for Semantic Segmentation
Multiclass Weighted	loss	for Instance Segmentation of Cluttered Cells
Multiframe Error Concealment for Whole-Frame	loss	in H.264/AVC
Multilabel predictions with sets of probabilities: The Hamming and ranking	loss	cases
Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive	loss
Multimodal Target Detection by Sparse Coding: Application to Paint	loss	Detection in Paintings
Multiobject Fusion With Minimum Information	loss
Multiple Instance Triplet	loss	for Weakly Supervised Multi-Label Action Localisation of Interacting Persons
Multiple Positives Enhanced NCE	loss	for Image-Text Retrieval, A
Multisample-Based Contrastive	loss	for Top-K Recommendation
Multiscale Decomposition Prediction of Propagation	loss	in Oceanic Tropospheric Ducts
Multispectral-based Imaging and Machine Learning for Noninvasive Blood	loss	Estimation
Multistage Adversarial	loss	es for Pose-Based Human Image Synthesis
Multivariate analysis of thalamo-cortical connectivity	loss	in TBI
Multiverse	loss	for Robust Transfer Learning, The
Mumford-Shah	loss	Functional for Image Segmentation With Deep Learning
Mutual exclusivity	loss	for semi-supervised deep learning
Negative Samples are at Large: Leveraging Hard-Distance Elastic	loss	for Re-identification
Neighborhood Adaptive	loss	Function for Deep Learning-Based Point Cloud Coding With Implicit and Explicit Quantization
Network Embedded FEC (NEF) for Video Multicast in Presence of Packet	loss	Correlation
Network-Based H.264/AVC Whole-Frame	loss	Visibility Model and Frame Dropping Methods
Networked multi-sensor fusion estimation with delays, packet	loss	es and missing measurements
Neural Network Compression Using Higher-Order Statistics and Auxiliary Reconstruction	loss	es
Neural Style Transfer With Adaptive Auto-Correlation Alignment	loss
Neutral Cross-Entropy	loss	Based Unsupervised Domain Adaptation for Semantic Segmentation
New Bayesian Focal	loss	Targeting Aleatoric Uncertainty Estimate: Pollen Image Recognition
New Convex	loss	Function For Multiple Instance Support Vector Machines, A
New Distributional Ranking	loss	With Uncertainty: Illustrated in Relative Depth Estimation, A
New Insight on Soil	loss	Estimation in the Northwestern Region of the Zagros Fold and Thrust Belt
New Sampling Method for Landslide Susceptibility Evaluation with Consideration of Minimizing Potential Societal	loss	es
New Techniques for Preserving Global Structure and Denoising with Low Information	loss	in Single-Image Super-Resolution
No-Reference Stereoscopic Image Quality Assessment Considering Multi-	loss	Constraints
Noise-Sampling Cross Entropy	loss	: Improving Disparity Regression Via Cost Volume Aware Regularizer
Noisy Label Learning With Provable Consistency for a Wider Family of	loss	es
Non-Learned Multi-Band Relative Contrastive	loss	for Speech Enhancement, A
Non-Uniform Illumination Underwater Image Enhancement via Minimum Weighted Error Entropy	loss
Nonlinear Ranking	loss	on Riemannian Potato Embedding
Norm	loss	: An efficient yet effective regularization method for deep neural networks
Norm-Integrated Softmax	loss	for Deep Face Recognition
Normalized Cut	loss	for Weakly-Supervised CNN Segmentation
Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering	loss	es
Novel Adaptive Kalman Filter With Unknown Probability of Measurement	loss	, A
Novel Approach to Quantized Matrix Completion Using Huber	loss	Measure, A
Novel CNN Training Framework:	loss	Transferring, A
Novel Communication Channel Model for Signal Propagation and	loss	Through Layered Earth
Novel Deeplabv3+ Network for SAR Imagery Semantic Segmentation Based on the Potential Energy	loss	Function of Gibbs Distribution, A
Novel Illumination-Invariant	loss	for Monocular 3D Pose Estimation, A
Novel	loss	for Change Point Detection Models With Time-Invariant Representations, A
novel	loss	function for early event detection based on infinite mixture prototypes for facial expressions, A
novel multi-	loss	-based deep adversarial network for handling challenging cases in semi-supervised image semantic segmentation, A
Novel Proactive Fault Tolerance	loss	Function for Crack Segmentation, A
NPT-	loss	: Demystifying Face Recognition Losses With Nearest Proxies Triplet
NPT-	loss	: Demystifying Face Recognition Losses With Nearest Proxies Triplet
nurbs-based error concealment technique for corrupted images from packet	loss	, A
Object Detection and Localization Using Deep Convolutional Networks with Softmax Activation and Multi-class Log	loss
Object removal and	loss	concealment using neighbor embedding methods
Object Segmentation Using Pixel-Wise Adversarial	loss
Object tracking based on Huber	loss	function
Objective quality assessment for image retargeting based on perceptual distortion and information	loss
Occurrence of GPS	loss	of Lock Based on a Swarm Half-Solar Cycle Dataset and Its Relation to the Background Ionosphere
OCT chorio-retinal segmentation with adversarial	loss
OCTA Retinal Vessel Segmentation Based on Vessel Thickness Inconsistency	loss
Octuplet	loss	: Make Face Recognition Robust to Image Resolution
Offset Curves	loss	for Imbalanced Problem in Medical Segmentation
Oil and Water Separation Phenomenon Inspired	loss	for Feature Learning, The
OLE: Orthogonal Low-rank Embedding, A Plug and Play Geometric	loss	for Deep Learning
On Focal	loss	for Class-Posterior Probability Estimation: A Theoretical Perspective
On Mitigating Stability-Plasticity Dilemma in CLIP-guided Image Morphing via Geodesic Distillation	loss
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target	loss	Functions for Learning Problems
On Regression	loss	es for Deep Depth Estimation
On Regularized	loss	es for Weakly-supervised CNN Segmentation
On the exact minimization of saturated	loss	functions for robust regression and subspace estimation
On the Optimality of the Simple Bayesian Classifier under Zero-One	loss
On the Robustness of Average	loss	es for Partial-Label Learning
On the use of different	loss	functions in statistical pattern recognition applied to machine translation
One Fits Many: Class Confusion	loss	for Versatile Domain Adaptation
One	loss	for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching
Online Determination of Track	loss	Using Template Inverse Matching
Online Extrinsic Calibration on LiDAR-Camera System with LiDAR Intensity Attention and Structural Consistency	loss
Online Weight Pruning Via Adaptive Sparsity	loss
OPAL: Occlusion Pattern Aware	loss	for Unsupervised Light Field Disparity Estimation
Open-set face recognition with maximal entropy and Objectosphere	loss
Optimal and Linear F-Measure Classifiers Applied to Non-technical	loss	es Detection
Optimal erasure protection for scalably compressed video streams with limited retransmission on channels with IID and bursty	loss	characteristics
Optimal FEC assignment for scalable video transmission over burst error channel with	loss	rate feedback
Optimal Packet	loss	Protection of Progressively Compressed 3-D Meshes
Optimization of Rank	loss	es for Image Retrieval
Optimization of Robust	loss	Functions for Weakly-Labeled Image Taxonomies
Optimization of Robust	loss	Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study
Optimized filtering and reconstruction in predictive quantization with	loss	es
Optimizing Complex	loss	Functions in Structured Prediction
Optimizing Nondecomposable	loss	Functions in Structured Prediction
Optimizing Selective ARQ for H.264 Live Streaming: A Novel Method for Predicting	loss	-Impact in Real Time
Orthogonal Projection	loss
Orthogonality	loss	: Learning Discriminative Representations for Face Recognition
OTFace: Hard Samples Guided Optimal Transport	loss	for Deep Face Representation
Outlier-Resilient Model Fitting via Percentile	loss	es: Methods for General and Convex Residuals
Outlier-Robust KalmanNet: Neural Network Aided Kalman Filtering Based on Huber	loss
Outlier-Suppressed Triplet	loss	with Adaptive Class-Aware Margins for Facial Expression Recognition
Overcoming Generic Knowledge	loss	with Selective Parameter Update
Overlap	loss	: Rethinking Weakly Supervised Instance Segmentation in Crowded Scenes
Overlooked Factors in Continual Zero-Shot Learning: Inflexible Semantic Prototypes, Simplistic	loss	Functions, and SGD Noise
Overview of compression and packet	loss	effects in speech biometrics
Packet	loss	protection of embedded data with fast local search
Packet	loss	Resilience of MPEG-2 Scalable Video Coding Algorithms
Packet	loss	resilient MPEG-4 compliant video coding for the Internet
Packet	loss	Resilient Transmission of 3D Models
Packet	loss	resilient transmission of MPEG video over the internet
Packet	loss	visibility across SD, HD, 3D, and UHD video streams
Packet	loss	es and objective video quality metrics in H.264 video streaming
Packet-	loss	Resilient Internet Video Using MPEG-4 Fine Granular Scalability
Pan-Sharpening Based on CNN+ Pyramid Transformer by Using No-Reference	loss
Pan-Sharpening With Color-Aware Perceptual	loss	And Guided Re-Colorization
Pansharpening Techniques: Optimizing the	loss	Function for Convolutional Neural Networks
Parallel Spectral-Spatial Attention Network with Feature Redistribution	loss	for Hyperspectral Change Detection
Paralleled attention modules and adaptive focal	loss	for Siamese visual tracking
Parameter Sharing Exploration and Hetero-Center Triplet	loss	for Visible-Thermal Person Re-Identification
Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware	loss
Partially View-aligned Representation Learning with Noise-robust Contrastive	loss
Partition and Reunion: A Viewpoint-Aware	loss	for Vehicle Re-Identification
Past and Future Trajectories of Farmland	loss	Due to Rapid Urbanization Using Landsat Imagery and the Markov-CA Model: A Case Study of Delhi, India
Patch	loss	: A generic multi-scale perceptual loss for single image super-resolution
Patch	loss	: A generic multi-scale perceptual loss for single image super-resolution
PatchBatch: A Batch Augmented	loss	for Optical Flow
Path	loss	and Shadowing for UAV-to-Ground UWB Channels Incorporating the Effects of Built-Up Areas and Airframe
Path	loss	Models for Low-Power, Low-Data Rate Sensor Nodes for Smart Car Parking Systems
Pedestrian Attribute Recognition Based on Mtcnn with Online Batch Weighted	loss
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-	loss	Estimation and Feature Adversarial Training
Penalizing Small Errors Using an Adaptive Logarithmic	loss
Penalizing Top Performers: Conservative	loss	for Semantic Segmentation Adaptation
Pentuplet	loss	for Simultaneous Shots and Critical Points Detection in a Video
PercepPan: Towards Unsupervised Pan-Sharpening Based on Perceptual	loss
Perceptual impact of burthy versus isolated packet	loss	es in H.264 compressed video
Perceptual	loss	for Robust Unsupervised Homography Estimation
Perceptual	loss	es for Real-Time Style Transfer and Super-Resolution
Perceptual Quality Maximization for Video Calls With Packet	loss	es by Optimizing FEC, Frame Rate, and Quantization
Perceptually Inspired Layout-Aware	loss	es for Image Segmentation
Perceptually Unequal Packet	loss	Protection by Weighting Saliency and Error Propagation
Performance analysis and modeling of errors and	loss	es over 802.11b LANs for high-bit-rate real-time multimedia
Permittivity Spectrum of Low-	loss	Liquid and Powder Geomaterials Using Multipoint Reentrant Cavities
Persistent Homology-Based Topological	loss	for CNN-Based Multiclass Segmentation of CMR, A
Person Re-id by Incorporating PCA	loss	in CNN
Person Re-identification Based on Feature Fusion and Triplet	loss	Function
Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet	loss	Function
Personalized Representation With Contrastive	loss	for Recommendation Systems
Perspective-Aware	loss	Function for Crowd Density Estimation
PGA-Net: Polynomial Global Attention Network With Mean Curvature	loss	for Lane Detection
PHNet: A Pulmonary Hypertension Detection Network Based on Cine Cardiac Magnetic Resonance Images Using a Hybrid Strategy of Adaptive Triplet and Binary Cross-Entropy	loss	es
Photo Style Transfer With Consistency	loss	es
Piou	loss	: Towards Accurate Oriented Object Detection in Complex Environments
Pix2pix Conditional Generative Adversarial Network with MLP	loss	Function for Cloud Removal in a Cropland Time Series
Pixel-Attention CNN With Color Correlation	loss	for Color Image Denoising
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting	loss
Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and	loss	Reweighting Approach
PML: Progressive Margin	loss	for Long-tailed Age Classification
Point Set Registration With Similarity and Affine Transformations Based on Bidirectional KMPE	loss
Point-to-Region	loss	for Semi-Supervised Point-Based Crowd Counting
Pose Guided Human Image Synthesis by View Disentanglement and Enhanced Weighting	loss
Potential	loss	of Ecosystem Service Value Due to Vessel Activity Expansion in Indonesian Marine Protected Areas
PPDL: Predicate Probability Distribution based	loss	for Unbiased Scene Graph Generation
Practically Unbiased Pairwise	loss	for Recommendation With Implicit Feedback
Precise Adjacent Margin	loss	for Deep Face Recognition
Predicting H.264 Packet	loss	Visibility using a Generalized Linear Model
Predicting Path	loss	Distributions of a Wireless Communication System for Multiple Base Station Altitudes from Satellite Images
Predicting slice	loss	distortion in H.264/AVC video for low complexity data prioritization
Prediction of Canopy Cover	loss	in German Spruce Forests Using a Spatio-Temporal Approach
Predictive Benthic Habitat Mapping Reveals Significant	loss	of Zostera marina in the Puck Lagoon, Baltic Sea, over Six Decades
Predictive Communication Quality Control in Haptic Teleoperation With Time Delay and Packet	loss
Predictive Prevention of	loss	of Vehicle Control for Roadway Departure Avoidance
Pretraining Image Encoders without Reconstruction via Feature Prediction	loss
Progressive Erasing Network with consistency	loss	for fine-grained visual classification
Progressive Multi-Resolution	loss	for Crowd Counting
Progressive Multi-View Learning Approach for Multi-	loss	Optimization in 3D Object Recognition, A
Progressive Self-Guided	loss	for Salient Object Detection
Projections onto the Overcomplete Basis Approach for Block	loss	Recovery, A
PROPEL: Probabilistic Parametric Regression	loss	for Convolutional Neural Networks
Prototype learning with margin-based conditional log-likelihood	loss
Prototype-Based Continual Learning with Label-Free Replay Buffer and Cluster Preservation	loss
Prototypical Distribution Divergence	loss	for Image Restoration
Proxy Anchor	loss	for Deep Metric Learning
Pseudo	loss	active learning for deep visual tracking
Pseudo-	loss	Confidence Metric for Semi-supervised Few-shot Learning
PSSCL: A progressive sample selection framework with contrastive	loss	designed for noisy labels
Psychoacoustic Calibration of	loss	Functions for Efficient End-to-End Neural Audio Coding
Pyramid Network With Quality-Aware Contrastive	loss	for Retinal Image Quality Assessment
Pyramidal Person Re-IDentification via Multi-	loss	Dynamic Training
Qamface: Quadratic Additive Angular Margin	loss	For Face Recognition
QuadNet: Quadruplet	loss	for multi-view learning in baggage re-identification
Quantification of	loss	of Access to Critical Services during Floods in Greater Jakarta: Integrating Social, Geospatial, and Network Perspectives
Quantifying Canopy Tree	loss	and Gap Recovery in Tropical Forests under Low-Intensity Logging Using VHR Satellite Imagery and Airborne LiDAR
Quantifying the Effects of Climate Change and Revegetation on Erosion-Induced Lateral Soil Organic Carbon	loss	on the Chinese Loess Plateau
Quantifying the	loss	of Coral from a Bleaching Event Using Underwater Photogrammetry and AI-Assisted Image Segmentation
QuatNet: Quaternion-Based Head Pose Estimation With Multiregression	loss
Queue-Augmented Correlation-Biased Orthogonality	loss	and Implicit Selective Transformer for Facial Expression Recognition in the Wild
RA	loss	: Relation-Aware Loss for Robust Person Re-identification
RA	loss	: Relation-Aware Loss for Robust Person Re-identification
RadSim	loss	: Radical Similarity-Guided Loss for Zero-Shot Chinese Character Recognition
Ramp	loss	based robust one-class SVM
Random Cycle	loss	and Its Application to Voice Conversion
Random epipolar constraint	loss	functions for supervised optical flow estimation
Range	loss	for Deep Face Recognition with Long-Tailed Training Data
Rank &Sort	loss	for Object Detection and Instance Segmentation
Rank and Sort	loss	-Aware Label Assignment with Centroid Prior for Dense Object Detection
Rank-Based Decomposable	loss	es in Machine Learning: A Survey
Ranked List	loss	for Deep Metric Learning
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based	loss	es
Ranking	loss	: A Novel Metric Learning Method for Person Re-identification
RankMI: A Mutual Information Maximizing Ranking	loss
RAO-UNet: a residual attention and octave UNet for road crack detection via balance	loss
Rapid and Steady Mass	loss	of the Patagonian Icefields throughout the GRACE Era: 2002-2017, The
Rapid Mangrove Forest	loss	and Nipa Palm (Nypa fruticans) Expansion in the Niger Delta, 2007-2017
Rate-Distortion Optimized Motion-Compensated Prediction for Packet	loss	Resilient Video Coding
Rate-distortion optimized unequal	loss	protection for video transmission over packet erasure channels
Rate-Performance-	loss	Optimization for Inter-Frame Deep Feature Coding From Videos
Re-identification	loss	in Combination Spaces for Multiple Object Tracking
Re-weighting Linear Discrimination Analysis under ranking	loss
Real-Time Deep Pose Estimation With Geodesic	loss	for Image-to-Template Rigid Registration
Real-Time Instance Segmentation with Polygons Using an Intersection-Over-Union	loss
REALM: Robust Entropy Adaptive	loss	Minimization for Improved Single-Sample Test-Time Adaptation
Recall@k Surrogate	loss	with Large Batches and Similarity Mixup
Recent Accelerating Glacier Mass	loss	of the Geladandong Mountain, Inner Tibetan Plateau, Estimated from ZiYuan-3 and TanDEM-X Measurements
Recipe for Cac: Mosaic-based Generalized	loss	for Improved Class-agnostic Counting, A
Recognition of Action Units in the Wild with Deep Nets and a New Global-Local	loss
Recognizing handwritten mathematical expressions via paired dual	loss	attention network and printed mathematical expressions
Reconstruction of Human-Induced Forest	loss	in China during 1900-2000
Recovery of video in the presence of packet	loss	using interleaving and spatial redundancy
Rectified Wing	loss	for Efficient and Robust Facial Landmark Localisation with Convolutional Neural Networks
recurrent cycle consistency	loss	for progressive face-to-face synthesis, A
Redefining Visual Quality: The Impact of	loss	Functions on INR-Based Image Compression
Reduce Information	loss	in Transformers for Pluralistic Image Inpainting
Reduced-reference quality assessment with scalable overhead for video with packet	loss
Reducing Data Complexity Using Autoencoders With Class-Informed	loss	Functions
Reducing FFT Scalloping	loss	Errors Without Multiplication
Reducing Information	loss	for Spiking Neural Networks
Reference frame selection for	loss	-resilient texture and depth map coding in multiview video conferencing
Reflection Removal via Recurrent Learning Guided by Physics Prior and Focal Perceptual	loss
ReFusion: Learning Image Fusion from Reconstruction with Learnable	loss	Via Meta-Learning
Region-wise	loss	for biomedical image segmentation
Registration	loss	Learning for Deep Probabilistic Point Set Registration
Regularized Hardmining	loss	for face recognition
Regularized	loss	for Weakly Supervised Single Class Semantic Segmentation
Regularized	loss	With Hyperparameter Estimation for Weakly Supervised Single Class Segmentation
Regularized margin-based conditional log-likelihood	loss	for prototype learning
Regularized Two Granularity	loss	Function for Weakly Supervised Video Moment Retrieval
Relation Preserving Triplet Mining for Stabilising the Triplet	loss	in Re-identification Systems
Relative Contrastive	loss	for Unsupervised Representation Learning
Remote Sensing Support for the Gain-	loss	Approach for Greenhouse Gas Inventories
Representation Learning Using Rank	loss	for Robust Neurosurgical Skills Evaluation
Repulsion	loss	: Detecting Pedestrians in a Crowd
ResEmoteNet: Bridging Accuracy and	loss	Reduction in Facial Emotion Recognition
ResiComp:	loss	-Resilient Image Compression via Dual-Functional Masked Visual Token Modeling
Residual network with detail perception	loss	for single image super-resolution
Residual packet	loss	rate analysis of 2-D parity forward error correction
Resolution	loss	without imaging blur
Restoration of Bone-Conducted Speech With U-Net-Like Model and Energy Distance	loss
Retain and Recover: Delving Into Information	loss	for Few-Shot Segmentation
Rethinking Feature Distribution for	loss	Functions in Image Classification
Rethinking preventing class-collapsing in metric learning with margin-based	loss	es
Rethinking Triplet	loss	for Domain Adaptation
Retinal Vessel Segmentation With Skeletal Prior and Contrastive	loss
Revised Contrastive	loss	for Robust Age Estimation from Face
Revisiting AP	loss	for Dense Object Detection: Adaptive Ranking Pair Selection
Revisiting AUC-Oriented Adversarial Training With	loss	-Agnostic Perturbations
Revisiting Deep Ensemble for Out-of-Distribution Detection: A	loss	Landscape Perspective
Revisiting	loss	-Specific Training of Filter-Based MRFs for Image Restoration
Revisiting Rotation Averaging: Uncertainties and Robust	loss	es
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task	loss	and Skip-Memory
ReweightOOD:	loss	Reweighting for Distance-based OOD Detection
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence	loss
RiemStega: Covariance-Based	loss	for Print-Proof Transmission of Data in Images
Ring	loss	: Convex Feature Normalization for Face Recognition
Risk Assessment of Population	loss	Posed by Earthquake-Landslide-Debris Flow Disaster Chain: A Case Study in Wenchuan, China
RML++: Regroup Median	loss	for Combating Label Noise
RMLVQA: A Margin	loss	Approach For Visual Question Answering with Language Biases
RMP-	loss	: Regularizing Membrane Potential Distribution for Spiking Neural Networks
Road Extraction by Using Atrous Spatial Pyramid Pooling Integrated Encoder-Decoder Network and Structural Similarity	loss
Road Extraction in SAR Images Using Ordinal Regression and Road-Topology	loss
RoBoSS: A Robust, Bounded, Sparse, and Smooth	loss	Function for Supervised Learning
Robust Algorithm of Multiquadric Method Based on an Improved Huber	loss	Function for Interpolating Remote-Sensing-Derived Elevation Data Sets, A
Robust Asymmetric	loss	for Multi-Label Long-Tailed Learning
Robust Cloth Warping via Multi-Scale Patch Adversarial	loss	for Virtual Try-On Framework
Robust Distributed Localization Based on Barycentric Coordinates Under Random Data	loss
Robust Image Compressive Sensing Based on Truncated Cauchy	loss	and Nonlocal Low-Rank Regularization
Robust	loss	for Point Cloud Registration, A
Robust	loss	es for Learning Value Functions
Robust Matrix Completion Based on Factorization and Truncated-Quadratic	loss	Function
Robust multi-source co-adaptation with adaptive	loss	minimization
Robust Normalized Softmax	loss	for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise
Robust one-class support vector machine with rescaled hinge	loss	function
Robust RGB-D Face Recognition Using Attribute-Aware	loss
Robust Semantic Segmentation by Redundant Networks With a Layer-Specific	loss	Contribution and Majority Vote
Robust support vector machines based on the rescaled hinge	loss	function
Robust twin support vector regression based on rescaled Hinge	loss
Robust Visual Tracking based on Adversarial Unlabeled Instance Generation with Label Smoothing	loss	Regularization
RobustNeRF: Ignoring Distractors with Robust	loss	es
Rotation Consistent Margin	loss	for Efficient Low-Bit Face Recognition
Rotation-Invariant Feature Learning in VHR Optical Remote Sensing Images via Nested Siamese Structure With Double Center	loss
RSDet++: Point-Based Modulated	loss	for More Accurate Rotated Object Detection
RSMT: Robust stereo matching training with geometric correction, clean pixel selection and	loss	weighting
RUF: Effective Sea Ice Floe Segmentation Using End-to-End RES-UNET-CRF with Dual	loss
RVFace: Reliable Vector Guided Softmax	loss	for Face Recognition
S3VD Self-Supervised Spatial Video Downsampling	loss	: A Method for Training Video FPN Denoising Networks
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual	loss	Network
SaCo	loss	: Sample-Wise Affinity Consistency for Vision-Language Pre-Training
SAL: Selection and Attention	loss	es for Weakly Supervised Semantic Segmentation
Saliency based objective quality assessment of decoded video affected by packet	loss	es
Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted	loss
Salient object detection via hybrid upsampling and hybrid	loss	computing
Salient Object Detection With	loss	less Feature Reflection and Weighted Structural Loss
Salient Object Detection With Purificatory Mechanism and Structural Similarity	loss
Sample Weighting with Hierarchical Equalization	loss	for Dense Object Detection
Sample-Based Forest Monitoring Strategy Using Landsat, AVHRR and MODIS Data to Estimate Gross Forest Cover	loss	in Malaysia between 1990 and 2005, A
sample-proxy dual triplet	loss	function for object re-identification, A
Samples with Low	loss	Curvature Improve Data Efficiency
Scalable audio coding for compression and	loss	resilient streaming
Scalable Hash From Triplet	loss	Feature Aggregation For Video De-duplication
Scale-aware hierarchical	loss	: A multipath RPN for multi-scale pedestrian detection
Scale-balanced	loss	for object detection
Scale-Varying Triplet Ranking with Classification	loss	for Facial Age Estimation
Scene Coordinate Regression with Angle-Based Reprojection	loss	for Camera Relocalization
Scene Flow Estimation from Point Clouds with Contrastive	loss	and Dual Pseudo Labels
Scene Text Image Super-Resolution Via Semantic Distillation and Text Perceptual	loss
Scfnet: A Spatial-channel Features Network Based on Heterocentric Sample	loss	for Visible-infrared Person Re-identification
Score-Oriented	loss	(SOL) functions
ScoringNet: Learning Key Fragment for Action Quality Assessment with Ranking	loss	in Skilled Sports
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation	loss	Smoothing
Sea Ice Classification Enhancement Using Calibration-Focused	loss	Functions
SeaBird: Segmentation in Bird's View with Dice	loss	Improves Monocular 3D Detection of Large Objects
Searching for Robustness:	loss	Learning for Noisy Classification Tasks
secure watermarking technique without	loss	of robustness, A
Seeking Consistent Flat Minima for Better Domain Generalization via Refining	loss	Landscapes
Seesaw	loss	for Long-Tailed Instance Segmentation
SeeThroughNet: Resurrection of Auxiliary	loss	by Preserving Class Probability Information
Segmentation for Early Tumor Detection in Mammograms Via Temporal Discrepancy Analysis and Dynamic	loss	Weighting
Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice	loss
Segmenting Hepatic Lesions Using Residual Attention U-Net with an Adaptive Weighted Dice	loss
Selecting and Interpreting Multiclass	loss	and Accuracy Assessment Metrics for Classifications with Class Imbalance: Guidance and Best Practices
Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware	loss
Selective Kernel and Motion-emphasized	loss	Based Attention-guided Network for HDR Imaging of Dynamic Scenes
Self-Balancing Multimodal Models via Multi-	loss	Gradient Modulation
Self-distillation salient object detection via generalized diversity	loss
Self-paced deep clustering with learning	loss
Self-restrained triplet	loss	for accurate masked face recognition
Self-Supervised GANs via Auxiliary Rotation	loss
Self-supervised Image Denoising with Downsampled Invariance	loss	and Conditional Blind-Spot Network
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive	loss
Self-supervised Learning with Local Contrastive	loss	for Detection and Semantic Segmentation
Semantic Cluster Unary	loss	for Efficient Deep Hashing
Semantic Segmentation of Large-Scale Outdoor Point Clouds by Encoder-Decoder Shared MLPs with Multiple	loss	es
Semantic-Aware Triplet	loss	for Image Classification
Semantic-guided de-attention with sharpened triplet marginal	loss	for visual place recognition
SEMEDA: Enhancing segmentation precision with semantic edge aware	loss
Semi-supervised Breast Lesion Segmentation Using Local Cross Triplet	loss	for Ultrafast Dynamic Contrast-enhanced Mri
Semi-Supervised Medical Image Semantic Segmentation with Multi-scale Graph Cut	loss
Semi-Supervised Representation Learning via Triplet	loss	Based on Explicit Class Ratio of Unlabeled Data
Semisupervised Approach to Non Technical	loss	es Detection
Sensitive	loss	: Improving accuracy and fairness of face representations with discrimination-aware deep learning
Sensitivity of model-based coded video to packet	loss	es
Sentinel-1 Shadows Used to Quantify Canopy	loss	from Selective Logging in Gabon
Sequential Labeling with Structural SVM Under an Average Precision	loss
Sequential labeling with structural SVM under the F1	loss
Set Augmented Triplet	loss	for Video Person Re-Identification
SetMargin	loss	applied to deep keystroke biometrics with circle packing interpretation
SFace: Sigmoid-Constrained Hypersphere	loss	for Robust Face Recognition
SHAA: Spatial Hybrid Attention Network With Adaptive Cross-Entropy	loss	Function for UAV-View Geo-Localization
Shifting of the Migration Route of White-Naped Crane (Antigone vipio) Due to Wetland	loss	in China
Ship Detection via Multi-Scale Deformation Modeling and Fine Region Highlight-Based	loss	Function
Siamese target estimation network with AIoU	loss	for real-time visual tracking
Siamese Tracking Network With Informative Enhanced	loss
Siamese visual tracking with multilayer feature fusion and corner distance IoU	loss
Sigmoid	loss	for Language Image Pre-Training
Similar Finger Gesture Recognition using Triplet-	loss	Networks
Similarity Learning with Top-heavy Ranking	loss	for Person Re-identification
Similarity Retention	loss	(SRL) Based on Deep Metric Learning for Remote Sensing Image Retrieval
Similarity Shuffled Criss-Cross Transformer With Angle	loss	for Image-Text Matching
Simple and Effective Out-of-Distribution Detection via Cosine-based Softmax	loss
Simple Triplet	loss	Based on Intra/Inter-Class Metric Learning for Face Verification
Simple Yet Effective Fine-Tuning of Deep CNNs Using an Auxiliary Classification	loss	for Remote Sensing Scene Classification
Simulation of temporal coherence	loss	for repeat-pass synthetic aperture sonar
Single Image Reflection Separation with Perceptual	loss	es
Single-	loss	Multi-task Learning For Improving Semantic Segmentation Using Super-Resolution
Single-Path Bit Sharing for Automatic	loss	-Aware Model Compression
single-stage face detection and face recognition deep neural network based on feature pyramid and triplet	loss	, A
Skea-Topo: A skeleton-aware	loss	function for topologically accurate boundary segmentation
Skeleton Recall	loss	for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
Skewed	loss	Function for Correcting Predictive Bias in Brain Age Prediction, A
Slice Sorting for Unequal	loss	Protection of Video Streams
Slice-Based Super-Resolution Using Light-Weight Network With Relation	loss
Sliced Wasserstein	loss	for Neural Texture Synthesis, A
Sliding-window packetization for unequal	loss	protection based multiple description coding
Sliding-Window Raptor Codes for Efficient Scalable Wireless Video Broadcasting With Unequal	loss	Protection
Slight Change, Huge	loss	: Spatiotemporal Evolution of Ecosystem Services and Driving Factors in Inner Mongolia, China
SLiKER: Sparse	loss	induced kernel ensemble regression
Small Ship Detection Based on a Learning Model That Incorporates Spatial Attention Mechanism as a	loss	Function in SU-ESRGAN
Smoothness, Synthesis, and Sampling: Re-thinking Unsupervised Multi-view Stereo with DIV	loss
SO-softmax	loss	for discriminable embedding learning in CNNs
SoDeep: A Sorting Deep Net to Learn Ranking	loss	Surrogates
Soft Cross Entropy	loss	and Bottleneck Tri-Cost Volume For Efficient Stereo Depth Prediction
Soft Ranking Threshold	loss	es for Image Retrieval
Softmax-Free	loss	Function Based on Predefined Optimal-Distribution of Latent Features for Deep Learning Classifier, A
SoftTriple	loss	: Deep Metric Learning Without Triplet Sampling
Solar: Second-order	loss	and Attention for Image Retrieval
Space-time Triplet	loss	Network for Dynamic 3d Face Verification
Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided	loss	Combination
Spacing	loss	for Discovering Novel Categories
Sparse and robust support vector machine with capped squared	loss	for large-scale pattern classification
Sparse Needlets for Lighting Estimation with Spherical Transport	loss
Spatial Assessment of Health Economic	loss	es from Exposure to Ambient Pollutants in China
Spatial coherence	loss	: All objects matter in salient and camouflaged object detection Spatial coherence loss: All objects matter in salient and camouflaged object detection
Spatial coherence	loss	: All objects matter in salient and camouflaged object detection Spatial coherence loss: All objects matter in salient and camouflaged object detection
Spatial Consistency	loss	for Training Multi-Label Classifiers from Single-Label Annotations
Spatial Cross-Scale Attention Network and Global Average Accuracy	loss	for SAR Ship Detection, A
spatial features and weight adjusted	loss	infused Tiny YOLO for shadow detection, A
Spatial Focal	loss	for Pedestrian Detection in Fisheye Imagery
Spatial location constraint prototype	loss	for open set recognition
spatial-spectral semisupervised deep learning framework using siamese networks and angular	loss	, A
Spatial-Temporal Land	loss	Modeling and Simulation in a Vulnerable Coast: A Case Study in Coastal Louisiana
Spatially Quantifying Forest	loss	at Landscape-scale Following a Major Storm Event
Spatially-Correlative	loss	for Various Image Translation Tasks, The
Spatiotemporal Vegetation Dynamics, Forest	loss	, and Recovery: Multidecadal Analysis of the U.S. Triple Crown National Scenic Trail Network
Speaker-Independent Speech Animation Using Perceptual	loss	Functions and Synthetic Data
Spectral-Spatial Feature Extraction and Classification by ANN Supervised With Center	loss	in Hyperspectral Imagery
Speech emotion recognition model based on Bi-GRU and Focal	loss
Sphere	loss	: Learning Discriminative Features for Scene Classification in a Hyperspherical Feature Space
Spherical Space Domain Adaptation With Robust Pseudo-Label	loss
Spline-based boundary	loss	concealment
Splitting Vs. Merging: Mining Object Regions with Discrepancy and Intersection	loss	for Weakly Supervised Semantic Segmentation
Spoken language identification in unseen channel conditions using modified within-sample similarity	loss
Square	loss	based regularized LDA for face recognition using image sets
SRDRL: A Blind Super-Resolution Framework With Degradation Reconstruction	loss
SRLibrary: Comparing different	loss	functions for super-resolution over various convolutional architectures
SROBB: Targeted Perceptual	loss	for Single Image Super-Resolution
Stable Autofocus with Focal Consistency	loss
Stable least-squares matching for oblique images using bound constrained optimization and a robust	loss	function
STAR	loss	: Reducing Semantic Ambiguity in Facial Landmark Detection
Starting Time Selection and Scheduling Methods for Minimum Cell	loss	Ratio of Superposed VBR MPEG Video Traffic
State Representation Learning With Adjacent State Consistency	loss	for Deep Reinforcement Learning
Statistical Approach for Intensity	loss	Compensation of Confocal Microscopy Images, A
STCMH with minimal semantic	loss
Steering	loss	: A Cost-Sensitive Loss Function for the End-to-End Steering Estimation
Stereoscopic image quality assessment considering visual mechanism and multi-	loss	constraints
Stitch in Time Saves Nine: A Train-Time Regularizing	loss	for Improved Neural Network Calibration, A
Stochastic Frame Buffers for Rate-Distortion Optimized	loss	Resilient Video Communications
Stochastic Model-Based Heuristics for Fast Field of View	loss	Recovery in Urban Traffic Management Through Networks of Video Cameras
Strategy for Traffic Safety of Vehicular Platoons Under Connection	loss	and Time-Delay, A
Strong but Simple Baseline With Dual-Granularity Triplet	loss	for Visible-Thermal Person Re-Identification
Structure-Guided Ranking	loss	for Single Image Depth Prediction
Structured Output Prediction with Hierarchical	loss	Functions for Seafloor Imagery Taxonomic Categorization
Student	loss	: Towards the Probability Assumption in Inaccurate Supervision
study of artificial speech quality assessors of VoIP calls subject to limited bursty packet	loss	es, A
Study on the Extraction of Topsoil-	loss	Areas of Cultivated Land Based on Multi-Source Remote Sensing Data
Style-Aware Content	loss	for Real-Time HD Style Transfer, A
Style-Aware Normalized	loss	for Improving Arbitrary Style Transfer
StyleFuse: An unsupervised network based on style	loss	function for infrared and visible image fusion
Subjective evaluation and statistical analysis for improved frame-	loss	error concealment of 3D videos
Subjective Quality Assessment of H.264/AVC Video Streaming with Packet	loss	es
Subspace-PnP: A Geometric Constraint	loss	for Mutual Assistance of Depth and Optical Flow Estimation
Supervised Learning of Quantizer Codebooks by Information	loss	Minimization
Support Vector Machine Classifier via L_0/1 Soft-Margin	loss
Support Vector Machine Classifier With Pinball	loss
Support vector machine classifier with truncated pinball	loss
SUPRA: Superpixel Guided	loss	for Improved Multi-modal Segmentation in Endoscopy
SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet	loss	for Writer Independent Offline Signature Verification
SVMs multi-class	loss	feedback based discriminative dictionary learning for image classification
Syndrome-Based Robust Video Transmission Over Networks with Bursty	loss	es
Synergistic Use of Single-Pass Interferometry and Radar Altimetry to Measure Mass	loss	of NEGIS Outlet Glaciers between 2011 and 2014
System for scanning documents without	loss	of image data
Systematic study and design of multimodal MRI image augmentation for brain tumor detection with	loss	aware exchange and residual networks
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing	loss
Taming the Cross Entropy	loss
Target Driven Adaptive	loss	for Infrared Small Target Detection
Target-Distractor Aware Deep Tracking With Discriminative Enhancement Learning	loss
Task-Adaptive Feature Matching	loss	for Image Deblurring
Task-based Focal	loss	for Adversarially Robust Meta-Learning
Task-driven Image Fusion with Learnable Fusion	loss
Task-Specific	loss	for Robust Instance Segmentation With Noisy Class Labels
Taxes are All You Need: Integration Of Taxonomical Hierarchy Relationships Into the Contrastive	loss
Teacher-Student Training and Triplet	loss	for Facial Expression Recognition under Occlusion
Temporal Consistency	loss	for High Resolution Textured and Clothed 3D Human Reconstruction from Monocular Video
Temporal Convolutional Network with Complementary Inner Bag	loss	for Weakly Supervised Anomaly Detection
Test Time Adaptation with Regularized	loss	for Weakly Supervised Salient Object Detection
Text-Guided Facial Image Manipulation for Wild Images via Manipulation Direction-Based	loss
Texture Analysis of Retinal Images to Determine Nerve Fibre	loss
Theoretically Sound Upper Bound on the Triplet	loss	for Improving the Efficiency of Deep Distance Metric Learning, A
Threshold-Adaptive Unsupervised Focal	loss	for Domain Adaptation of Semantic Segmentation
Time Ring Data: Definition and Application in Spatio-Temporal Analysis of Urban Expansion and Forest	loss
Token pyramid pooling-driven style adapter learning with dual-view balanced	loss	for imbalanced diabetic retinopathy grading
Topological	loss	Function for Deep-Learning Based Image Segmentation Using Persistent Homology, A
Topology-Aware Focal	loss	for 3D Image Segmentation
Toward Multicenter Skin Lesion Classification Using Deep Neural Network With Adaptively Weighted Balance	loss
Towards Accurate Medical Image Segmentation with Gradient-Optimized Dice	loss
Towards Accurate One-Stage Object Detection With AP-	loss
Towards Effective Instance Discrimination Contrastive	loss	for Unsupervised Domain Adaptation
Towards Efficient Machine Unlearning with Data Augmentation: Guided	loss	-Increasing (GLI) to Prevent the Catastrophic Model Utility Drop
Tracking Rates of Forest Disturbance and Associated Carbon	loss	in Areas of Illegal Amber Mining in Ukraine Using Landsat Time Series
TRACL: Temporal reconstruction and adaptive consistency	loss	for semi-supervised video semantic segmentation
Tradeoff between system profit and user delay/	loss	in providing near video-on-demand service
Traffic Sign Recognition With Hinge	loss	Trained Convolutional Neural Networks
Training a Task-Specific Image Reconstruction	loss
Training deep retrieval models with noisy datasets: Bag exponential	loss
Training Generative Image Super-Resolution Models by Wavelet-Domain	loss	es Enables Better Control of Artifacts
Training Transformer Models by Wavelet	loss	es Improves Quantitative and Visual Performance in Single Image Super-Resolution
Transfer Learning Through Weighted	loss	Function and Group Normalization for Vessel Segmentation from Retinal Images
Transformer Based Pluralistic Image Completion With Reduced Information	loss
Transformer-based Cascade Network with Boundary Enhancement	loss	for Retinal Vessel Segmentation, A
Transformer-based feature interactor for person re-identification with margin self-punishment	loss
Translation-classification	loss	for SAR image understanding with deep learning
Tree Energy	loss	: Towards Sparsely Annotated Semantic Segmentation
Tree-Based Structural Twin Support Tensor Clustering with Square	loss	Function
Triangle Distance IoU	loss	, Attention-Weighted Feature Pyramid Network, and Rotated-SARShip Dataset for Arbitrary-Oriented SAR Ship Detection
TriCoLo: Trimodal Contrastive	loss	for Text to Shape Retrieval
Triple	loss	Based Framework for Generalized Zero-Shot Learning
Triple-GAN: Progressive Face Aging with Triple Translation	loss
Triple-	loss	driven generative adversarial network for pansharpening
Triplet	loss	in Siamese Network for Object Tracking
Triplet	loss	With Multistage Outlier Suppression and Class-Pair Margins for Facial Expression Recognition
Triplet-Center	loss	for Multi-view 3D Object Retrieval
Tropical Forest and Wetland	loss	es and the Role of Protected Areas in Northwestern Belize, Revealed from Landsat and Machine Learning
Truncation Cross Entropy	loss	for Remote Sensing Image Captioning
Tunable Convolutions with Parametric Multi-	loss	Optimization
Tuning Modular Networks with Weighted	loss	es for Hand-Eye Coordination
Tuning of the hyperparameters for L2-	loss	SVMs with the RBF kernel by the maximum-margin principle and the jackknife technique
Two-Head	loss	Function for Deep Average-K Classification, A
Two-Level Attention Network With Multi-Grain Ranking	loss	for Vehicle Re-Identification
Two-Slope Path	loss	Model for Curved-Tunnel Environment With Concept of Break Point
Two-Stream Convolutional Long- and Short-Term Memory Model Using Perceptual	loss	for Sequence-to-Sequence Arctic Sea Ice Prediction
Two-Way Multi-Label	loss
U2-DBA: A Dual-Scale Boundary-Aware Network With Feature-Boundary-Skeleton	loss	for Robust Skin Lesion Segmentation
UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood	loss
UMGAN: Generative adversarial network for image unmosaicing using perceptual	loss
Uncertainty and Energy based	loss	Guided Semi-Supervised Semantic Segmentation
Uncertainty-aware GAN with Adaptive	loss	for Robust MRI Image Enhancement
Uncertainty-weighted	loss	Functions for Improved Adversarial Attacks on Semantic Segmentation
Uncovering Dynamics of Global Mangrove Gains and	loss	es
Understanding and combating robust overfitting via input	loss	landscape analysis and regularization
Understanding Center	loss	Based Network for Image Retrieval with Few Training Data
Understanding the Behaviour of Contrastive	loss
Understanding Whitening	loss	in Self-Supervised Learning
Underwater Image Enhancement by Dehazing With Minimum Information	loss	and Histogram Distribution Prior
Underwater Image Enhancement via Minimal Color	loss	and Locally Adaptive Contrast Enhancement
Underwater image restoration based on minimum information	loss	principle and optical properties of underwater imaging
Underwater surveillance using spatially curated perceptual	loss	and graph refactored network
Unequal	loss	Protection for H.263 Compressed Video
Unequal	loss	protection for robust transmission of motion compensated video over the internet
Unequal	loss	-protected multiple description coding of scalable source streams using a progressive approach
UniFace: Unified Cross-Entropy	loss	for Deep Face Recognition
unified framework for non-negative matrix and tensor factorisations with a smoothed Wasserstein	loss	, A
Unified Framework of Surrogate	loss	by Refactoring and Interpolation, A
Unified Perspective for	loss	-Oriented Imbalanced Learning via Localization, A
unified perspective of classification-based	loss	and distance-based loss for cross-view gait recognition, A
unified perspective of classification-based	loss	and distance-based loss for cross-view gait recognition, A
Uniform misclassification	loss	for unbiased model prediction
Unifying Distribution Alignment as a	loss	for Imbalanced Semi-supervised Learning
Unifying Margin-Based Softmax	loss	es in Face Recognition
Unifying Mutual Information View of Metric Learning: Cross-entropy vs. Pairwise	loss	es, A
Unimodal-Concentrated	loss	: Fully Adaptive Label Distribution Learning for Ordinal Regression
Unknown Identity Rejection	loss	: Utilizing Unlabeled Data for Face Recognition
Unpaired Image-to-image Translation Using Adversarial Consistency	loss
Unsupervised Change Detection Based on Image Reconstruction	loss
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency	loss	es
Unsupervised Cross Domain Person Re-Identification by Multi-	loss	Optimization Learning
Unsupervised deep clustering via contractive feature representation and focal	loss
Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering	loss
Unsupervised disparity estimation from light field using plug-and-play weighted warping	loss
Unsupervised Domain Adaptation by Multi-	loss	Gap Minimization Learning for Person Re-Identification
Unsupervised Domain Adaptation Using Feature-Whitening and Consensus	loss
Unsupervised Extraction of Local Image Descriptors via Relative Distance Ranking	loss
Unsupervised fisheye image correction through bidirectional	loss	with geometric prior
Unsupervised Image Restoration With Quality-Task-Perception	loss
Unsupervised Monocular Estimation of Depth and Visual Odometry Using Attention and Depth-Pose Consistency	loss
Unsupervised Single Image Dehazing Using Dark Channel Prior	loss
Unsupervised Temporal Consistency (TC)	loss	to Improve the Performance of Semantic Segmentation Networks, An
Urban Expansion and the	loss	of Agricultural Lands and Forest Cover in Limbe, Cameroon
Urban Sprawl Monitoring by VHR Images Using Active Contour	loss	and Improved U-Net with Mix Transformer Encoders
Urban-Rural Differences in Cropland	loss	and Fragmentation Caused by Construction Land Expansion in Developed Coastal Regions: Evidence from Jiangsu Province, China
US-	loss	: Integrating Uncertainty Estimation in the Loss Function of Image Segmentation
US-	loss	: Integrating Uncertainty Estimation in the Loss Function of Image Segmentation
use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy	loss	function that delays gratification, The
Use of Unmanned Aerial Vehicles to Estimate Direct Tangible	loss	es to Residential Properties from Flood Events: A Case Study of Cockermouth Following the Desmond Storm, The
Using an Area-Weighted	loss	Function to Address Class Imbalance in Deep Learning-Based Mapping of Small Water Bodies in a Low-Latitude Region
Using Cross-Domain Detection	loss	to Infer Multi-Scale Information for Improved Tiny Head Tracking
Using Long-Term Earth Observation Data to Reveal the Factors Contributing to the Early 2020 Desert Locust Upsurge and the Resulting Vegetation	loss
Using Multi-Resolution Satellite Data to Quantify Land Dynamics: Applications of PlanetScope Imagery for Cropland and Tree-Cover	loss	Area Estimation
Using Sentinel-2 Time Series to Monitor the	loss	of Individual Large Trees in Humanized Landscapes
Using the Triplet	loss	for Domain Adaptation in WCE
Utilizing Transfer Learning and a Customized	loss	Function for Optic Disc Segmentation from Retinal Images
V2V Cooperative Perception With Adaptive Communication	loss	for Autonomous Driving
Vanishing region	loss	for crowd density estimation
Variable-bit-rate HDTV codec with ATM-cell-	loss	compensation
Variance Stabilized	loss	Function for Semantic Segmentation of Smaller Objects in Medical Images
VARID: Viewpoint-Aware Re-IDentification of Vehicle Based on Triplet	loss
Vector-to-Vector Regression via Distributional	loss	for Speech Enhancement
Vegetation Productivity	loss	es Linked to Mediterranean Hot and Dry Events
Versatile Model for Packet	loss	Visibility and its Application to Packet Prioritization, A
video coding method considering cell	loss	es in ATM-based networks, A
Video feature tracking with	loss	-of-track detection
Visibility of individual packet	loss	es in MPEG-2 video
Visible-infrared person re-identification using high utilization mismatch amending triplet	loss
Vision based crown	loss	estimation for individual trees with remote aerial robots
Vision-Based System for Monitoring the	loss	of Attention in Automotive Drivers, A
Visual	loss	es in early-onset and late-onset Parkinson's disease
Visual Object Tracking Based on Mutual Learning Between Cohort Multiscale Feature-Fusion Networks With Weighted	loss
Visual Object Tracking by Using Ranking	loss
Visual Object Tracking With Partition	loss	Schemes
Visual words assignment on a graph via minimal mutual information	loss
Volume	loss	Assessment with MT-InSAR during Tunnel Construction in the City of Naples (Italy)
von Mises-Fisher	loss	: An Exploration of Embedding Geometries for Supervised Learning
VoxelSplat: Dynamic Gaussian Splatting as an Effective	loss	for Occupancy and Flow Prediction
Wasserstein	loss	based Deep Object Detection
Wasserstein	loss	for Image Synthesis and Restoration
Wasserstein	loss	With Alternative Reinforcement Learning for Severity-Aware Semantic Segmentation
Water Body Detection in High-Resolution SAR Images With Cascaded Fully-Convolutional Network and Variable Focal	loss
Water	loss	Due to Increasing Planted Vegetation over the Badain Jaran Desert, China
WD-UNeXt: Weight	loss	function and dropout U-Net with ConvNeXt for automatic segmentation of few shot brain gliomas
Weakly Supervised Adaptive Triplet	loss	for Deep Metric Learning, A
Weakly supervised brain tumour segmentation with label propagation and level set	loss
Weakly Supervised Face Naming with Symmetry-Enhanced Contrastive	loss
Weakly Supervised Forest Fire Segmentation in UAV Imagery Based on Foreground-Aware Pooling and Context-Aware	loss
Weakly-Supervised Multiple Object Tracking Via A Masked Center Point Warping	loss
Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order	loss	Functions
Weather Radar Echo Extrapolation with Dynamic Weight	loss
Weight-Guided	loss	for Long-Tailed Object Detection and Instance Segmentation
Weighted kappa	loss	function for multi-class classification of ordinal data in deep learning
Weighted linear	loss	multiple birth support vector machine based on information granulation for multi-class classification
Weighted	loss	functions to make risk-based language identification fused decisions
Wetland	loss	Identification and Evaluation Based on Landscape and Remote Sensing Indices in Xiong'an New Area
When Textures Deceive: Weakly Supervised Industrial Anomaly Detection with Adapted-	loss	CycleGAN
WHFL: Wavelet-Domain High Frequency	loss	for Sketch-to-Image Translation
Wing	loss	for Robust Facial Landmark Localisation with Convolutional Neural Networks
X-net with Different	loss	Functions for Cell Image Segmentation
YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity	loss
Zero-DCE with HSV	loss	for Low-Light Image Enhancement
Zero-Shot Contrastive	loss	for Text-Guided Diffusion Image Style Transfer
ZS-ACL: Light-Weight Zero-Shot Image Denoising Using Alpha-Conditional	loss
µPEWFace: Parallel ensemble of weighted deep convolutional neural networks with novel	loss	functions for face-based authentication

1545 for loss

Index for "l"