| _ | meta | _ |
|---|
| 3D- | meta | ConNet: Meta-learning for 3D Shape Classification and Segmentation |
| Adaptive Label Noise Cleaning with | meta | -Supervision for Deep Face Recognition |
| Adaptive Task Sampling for | meta | -learning |
| Adversarial | meta | -Training Framework for Cross-Domain Few-Shot Learning, An |
| AG- | meta | : Adaptive graph meta-learning via representation consistency over local subgraphs |
| AG- | meta | : Adaptive graph meta-learning via representation consistency over local subgraphs |
| AI-Based Reconstruction for Fast MRI: A Systematic Review and | meta | -Analysis |
| Application of DMSP/OLS Nighttime Light Images: A | meta | -Analysis and a Systematic Literature Review |
| Architecture, Dataset and Model-Scale Agnostic Data-free | meta | -Learning |
| Attribute-Modulated Generative | meta | Learning for Zero-Shot Learning |
| Automated assessment for Alzheimer's disease diagnosis from MRI images: | meta | -heuristic assisted deep learning model |
| Automatic Audio-Visual Fusion for Aggression Detection Using | meta | -information |
| Base and | meta | : A New Perspective on Few-Shot Segmentation |
| Beyond Triplet Loss: | meta | Prototypical N-Tuple Loss for Person Re-identification |
| Bi-Level | meta | -Learning for Few-Shot Domain Generalization |
| Biblio: Automatic | meta | -Data Extraction |
| Bibliographic | meta | -Data Extraction Using Probabilistic Finite State Transducers |
| Bitwidth-Adaptive Quantization-Aware Neural Network Training: A | meta | -Learning Approach |
| Blending-Target Domain Adaptation by Adversarial | meta | -Adaptation Networks |
| Boosting Query Efficiency of | meta | Attack With Dynamic Fine-Tuning |
| Branding: Fusion of | meta | Data and Musculoskeletal Radiographs for Multi-Modal Diagnostic Recognition |
| Breast cancer diagnosis based on a new improved Elman neural network optimized by | meta | -heuristics |
| Brownian descriptor: A rich | meta | -feature for appearance matching |
| Calibrating CNNs for Few-Shot | meta | Learning |
| Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based | meta | -Learning |
| Catch: Context-based | meta | Reinforcement Learning for Transferrable Architecture Search |
| Causal | meta | -Reinforcement Learning for Multimodal Remote Sensing Data Classification |
| City buses' future velocity prediction for multiple driving cycle: A | meta | supervised learning solution |
| Class-Discriminative Feature Embedding For | meta | -Learning based Few-Shot Classification |
| Class-wise Attention Reinforcement for Semi-supervised | meta | -Learning |
| Classification Algorithm Based on Improved | meta | Learning and Transfer Learning for Few-Shot Medical Images, A |
| Cluster, Split, Fuse, and Update: | meta | -Learning for Open Compound Domain Adaptive Semantic Segmentation |
| Clustered Task-Aware | meta | -Learning by Learning from Learning Paths |
| Coarse-to-fine pseudo supervision guided | meta | -task optimization for few-shot object classification |
| Cognitive Workload Assessment of Prosthetic Devices: A Review of Literature and | meta | -Analysis |
| comparative study on automatic audio-visual fusion for aggression detection using | meta | -information, A |
| Complementing Representation Deficiency in Few-shot Image Classification: A | meta | -Learning Approach |
| Compound Domain Generalization via | meta | -Knowledge Encoding |
| Compound Expression Recognition In-the-wild with AU-assisted | meta | Multi-task Learning |
| Computer Vision | meta | Discussions |
| Connection of the Photochemical Reflectance Index (PRI) with the Photosystem II Quantum Yield and Nonphotochemical Quenching Can Be Dependent on Variations of Photosynthetic Parameters among Investigated Plants: A | meta | -Analysis |
| Contextualizing | meta | -Learning via Learning to Decompose |
| Continual Adaptation of Visual Representations via Domain Randomization and | meta | -learning |
| continuation approach for training Artificial Neural Networks with | meta | -heuristics, A |
| Contrastive Knowledge-Augmented | meta | -Learning for Few-Shot Classification |
| Creating Classifier Ensembles through | meta | -heuristic Algorithms for Aerial Scene Classification |
| Cross-Modal Graph With | meta | Concepts for Video Captioning |
| Cross-task and cross-domain SAR target recognition: A | meta | -transfer learning approach |
| Crowd | meta | : Crowdsourcing truth inference with meta-Knowledge transfer |
| Curvature-Adaptive | meta | -Learning for Fast Adaptation to Manifold Data |
| Customized | meta | -dataset for automatic classifier accuracy evaluation |
| DAMSL: Domain Agnostic | meta | Score-based Learning |
| Deep feature annotation by iterative | meta | -pseudo-labeling on 2D projections |
| Deep learning in remote sensing applications: A | meta | -analysis and review |
| Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and | meta | -Analysis |
| Deep | meta | Functionals for Shape Representation |
| Deep | meta | Learning for Real-Time Target-Aware Visual Tracking |
| Deep | meta | Metric Learning |
| Deep | meta | Handles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates |
| Depth-From-Recognition: Inferring | meta | -data by Cognitive Feedback |
| DHP: Differentiable | meta | Pruning via Hypernetworks |
| Different Input Resolutions and Arbitrary Output Resolution: A | meta | Learning-Based Deep Framework for Infrared and Visible Image Fusion |
| Discrepancy-Aware | meta | -Learning for Zero-Shot Face Manipulation Detection |
| DistPro: Searching a Fast Knowledge Distillation Process via | meta | Optimization |
| Diversity-Aware | meta | Visual Prompting |
| domain generalized person re-identification algorithm based on | meta | -bond domain alignment?, A |
| Domain-Specific Priors and | meta | Learning for Few-Shot First-Person Action Recognition |
| Dual | meta | -Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan |
| Dual Stream | meta | Learning for Road Surface Classification and Riding Event Detection on Shared Bikes |
| Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in | meta | -learning |
| Dynamic Model-Agnostic | meta | -Learning for Incremental Few-Shot Learning |
| Efficient | meta | -Algorithm for Triangulation, An |
| Efficient | meta | -information annotation and view-dependent representation system for 3D objects on the Web |
| Efficient | meta | -Tuning for Content-Aware Neural Video Delivery |
| Embedding | meta | -Information in Handwriting: Reed-Solomon for Reliable Error Correction |
| End to End Generative | meta | Curriculum Learning for Medical Data Augmentation |
| Enhanced | meta | Label Correction for Coping with Label Corruption |
| Enhancing Modality-Agnostic Representations via | meta | -learning for Brain Tumor Segmentation |
| Entropy Maximization and | meta | Classification for Out-of-Distribution Detection in Semantic Segmentation |
| Exploitation of | meta | Knowledge for Learning Visual Concepts |
| Extraction of type style-based | meta | -information from imaged documents |
| Factor Screening using Bayesian Active Learning and Gaussian Process | meta | -Modelling |
| Fast Adaptation to Super-resolution Networks via | meta | -learning |
| Fast Adaptive Active Noise Control Based on Modified Model-Agnostic | meta | -Learning Algorithm |
| Fast Adaptive | meta | -Learning for Few-Shot Image Generation |
| Fast And Flexible Method For | meta | -map Building for ICP Based SLAM, A |
| Fast Human Detection Using a Novel Boosted Cascading Structure With | meta | Stages |
| Faster | meta | Update Strategy for Noise-Robust Deep Learning |
| feasibility study of an autoencoder | meta | -model for improving generalization capabilities on training sets of small sizes, A |
| Few Shot Learning For Point Cloud Data Using Model Agnostic | meta | Learning |
| Few-Shot Calibration of Set Predictors via | meta | -Learned Cross-Validation-Based Conformal Prediction |
| Few-Shot Classification in Unseen Domains by Episodic | meta | -Learning Across Visual Domains |
| Few-Shot Classification of Aerial Scene Images via | meta | -Learning |
| Few-Shot High-Resolution Range Profile Ship Target Recognition Based on Task-Specific | meta | -Learning with Mixed Training and Meta Embedding |
| Few-Shot High-Resolution Range Profile Ship Target Recognition Based on Task-Specific | meta | -Learning with Mixed Training and Meta Embedding |
| Few-Shot Human Motion Prediction via | meta | -learning |
| Few-Shot Learning of Compact Models via Task-Specific | meta | Distillation |
| Few-Shot Learning With Embedded Class Models and Shot-Free | meta | Training |
| Few-Shot Open-Set Recognition Using | meta | -Learning |
| Few-shot personalized saliency prediction using | meta | -learning |
| Few-Shot Scene Adaptive Crowd Counting Using | meta | -Learning |
| Few-Shot Segmentation Without | meta | -Learning: A Good Transductive Inference Is All You Need? |
| Few-shot Website Fingerprinting attack with | meta | -Bias Learning |
| Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep | meta | -Learning |
| Fine-Grained Visual Categorization Using | meta | -learning Optimization with Sample Selection of Auxiliary Data |
| Gate and Common Pathway Detection in Crowd Scenes Using Motion Units and | meta | -Tracking |
| Gaussian | meta | -feature balanced aggregation for few-shot synthetic aperture radar target detection |
| GEMS: Generating Efficient | meta | -Subnets |
| Generalizable Black-Box Adversarial Attack With | meta | Learning |
| Generalizable Decision Boundaries: Dualistic | meta | -Learning for Open Set Domain Generalization |
| Generalizable No-Reference Image Quality Assessment via Deep | meta | -Learning |
| Generalized Face Anti-Spoofing via Multi-Task Learning and One-Side | meta | Triplet Loss |
| Generalized | meta | -FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data |
| Generative | meta | -Adversarial Network for Unseen Object Navigation |
| GiganticNVS: Gigapixel Large-Scale Neural Rendering With Implicit | meta | -Deformed Manifold |
| GIS-Based Multi-Criteria Evaluation (MCE) Methods for Aquaculture Site Selection: A Systematic Review and | meta | -Analysis |
| Google Earth Engine for geo-big data applications: A | meta | -analysis and systematic review |
| Gradient-Regulated | meta | -Prompt Learning for Generalizable Vision-Language Models |
| Gradual transition detection using color coherence and other criteria in a video shot | meta | -segmentation framework |
| Ground and aerial | meta | -data integration for localization and reconstruction: A review |
| Ground-Truth Free | meta | -Learning for Deep Compressive Sampling |
| Group-based | meta | -classification |
| Guided by | meta | -Set: A Data-Driven Method for Fine-Grained Visual Recognition |
| Harvesting Discriminative | meta | Objects with Deep CNN Features for Scene Classification |
| HBIM | meta | -Modelling: 50 (and More) Shades of Grey |
| Hierarchical Skeleton | meta | -Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-identification |
| High-Performance Long-Term Tracking With | meta | -Updater |
| Hybrid classification with | meta | -heuristic-enabled optimal feature selection for thyroid detection |
| Hybrid CNN-transformer based | meta | -learning approach for personalized image aesthetics assessment |
| Identifying Generalizable Image Segmentation Parameters for Urban Land Cover Mapping through | meta | -Analysis and Regression Tree Modeling |
| Image Deformation | meta | -Networks for One-Shot Learning |
| Image Quality-aware Diagnosis via | meta | -knowledge Co-embedding |
| Improving Covariance Conditioning of the SVD | meta | -layer by Orthogonality |
| Improving cross-validation based classifier selection using | meta | -learning |
| Improving Denoising Algorithms via a Multi-scale | meta | -procedure |
| Improving Generalization of | meta | -Learning with Inverted Regularization at Inner-Level |
| Improving Shape Retrieval by Spectral Matching and | meta | Similarity |
| Improving Super-Resolution Performance Using | meta | -Attention Layers |
| Incremental Few-shot | meta | -learning via Indirect Discriminant Alignment |
| Incremental | meta | -Learning via Episodic Replay Distillation for Few-Shot Image Recognition |
| Incremental Object Detection via | meta | -Learning |
| Instance-Level | meta | Normalization |
| Internet User's Behavior From the Standpoint of the Neural Network Theory of Society: Prerequisites for the | meta | -Education Concept Formation |
| Investigating CLIP Performance for | meta | -data Generation in AD Datasets |
| Is | meta | -Learning Always Necessary?: A Practical ML Framework Solving Novel Tasks at Large-scale Car Sharing Platform |
| Is the | meta | -Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? |
| iTAML: An Incremental Task-Agnostic | meta | -learning Approach |
| Joint Noise-Tolerant Learning and | meta | Camera Shift Adaptation for Unsupervised Person Re-Identification |
| Land Subsidence Susceptibility Mapping in Jakarta Using Functional and | meta | -Ensemble Machine Learning Algorithm Based on Time-Series InSAR Data |
| Lazy Approach to Long-Horizon Gradient-Based | meta | -Learning, A |
| Learn from Object Counting: Crowd Counting with | meta | -learning |
| Learn TAROT with MENTOR: A | meta | -Learned Self-supervised Approach for Trajectory Prediction |
| Learning A | meta | -Ensemble Technique For Skin Lesion Classification And Novel Class Detection |
| Learning a target-dependent classifier for cross-domain semantic segmentation: Fine-tuning versus | meta | -learning |
| Learning Dynamic Alignment via | meta | -filter for Few-shot Learning |
| Learning from Noisy Labels via | meta | Credible Label Elicitation |
| Learning from Noisy Labels with Decoupled | meta | Label Purifier |
| Learning from the Negativity: Deep Negative Correlation | meta | -learning for Adversarial Image Classification |
| Learning from the Web: Webly Supervised | meta | -Learning for Masked Face Recognition |
| Learning From Visual Demonstrations via Replayed Task-Contrastive Model-Agnostic | meta | -Learning |
| Learning knowledge representation with | meta | knowledge distillation for single image super-resolution |
| Learning | meta | Face Recognition in Unseen Domains |
| Learning | meta | -class Memory for Few-Shot Semantic Segmentation |
| Learning | meta | -Distance for Sequences by Learning a Ground Metric via Virtual Sequence Regression |
| Learning Normal Dynamics in Videos with | meta | Prototype Network |
| Learning Symbolic Model-Agnostic Loss Functions via | meta | -Learning |
| Learning to Forget for | meta | -Learning |
| Learning to Forget for | meta | -Learning via Task-and-Layer-Wise Attenuation |
| Learning to Generalize Unseen Domains via Memory-based Multi-Source | meta | -Learning for Person Re-Identification |
| Learning to Learn Better Unimodal Representations via Adaptive Multimodal | meta | -Learning |
| Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using | meta | -Learning |
| Learning to predict crop type from heterogeneous sparse labels using | meta | -learning |
| Learning to Update for Object Tracking With Recurrent | meta | -Learner |
| Learning transferable features in | meta | -learning for few-shot text classification |
| Learning unbiased classifiers from biased data with | meta | -learning |
| Learning-based Image Registration with | meta | -Regularization |
| Local-Adaptive Face Recognition via Graph-based | meta | -Clustering and Regularized Adaptation |
| Long-Tailed Federated Learning Via Aggregated | meta | Mapping |
| LSRML: A latent space regularization based | meta | -learning framework for MR image segmentation |
| Magi-Net: | meta | Negative Network for Early Activity Prediction |
| MAML-SR: Self-adaptive super-resolution networks via multi-scale optimized attention-aware | meta | -learning |
| MaskSplit: Self-supervised | meta | -learning for Few-shot Semantic Segmentation |
| Master: | meta | Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer |
| Measures and | meta | -Measures for the Supervised Evaluation of Image Segmentation |
| MELTR: | meta | Loss Transformer for Learning to Fine-tune Video Foundation Models |
| meta | Agent Teaming Active Learning for Pose Estimation |
| meta | Analysis of Classification Algorithms for Pattern Recognition |
| meta | Approach to Data Augmentation Optimization |
| meta | Architecture for Point Cloud Analysis |
| meta | Attention-Generation Network for Cross-Granularity Few-Shot Learning |
| meta | Auxiliary Learning for Facial Action Unit Detection |
| meta | Balanced Network for Fair Face Recognition |
| meta | Batch-Instance Normalization for Generalizable Person Re-Identification |
| meta | captioning: A meta learning based remote sensing image captioning framework |
| meta | captioning: A meta learning based remote sensing image captioning framework |
| meta | Clothing Status Calibration for Long-Term Person Re-Identification |
| meta | Compositional Referring Expression Segmentation |
| meta | conditional variational auto-encoder for domain generalization |
| meta | Convolutional Neural Networks for Single Domain Generalization |
| meta | Distribution Alignment for Generalizable Person Re-Identification |
| meta | Generalized Network for Few-Shot Classification |
| meta | Generative Attack on Person Reidentification |
| meta | Gradient Adversarial Attack |
| meta | Learning on a Sequence of Imbalanced Domains with Difficulty Awareness |
| meta | Learning via Learned Loss |
| meta | Method for Image Matching, A |
| meta | Module Generation for Fast Few-Shot Incremental Learning |
| meta | Module Network for Compositional Visual Reasoning |
| meta | Motion |
| meta | Navigator: Search for a Good Adaptation Policy for Few-shot Learning |
| meta | Noise Adaption Framework for Multimodal Sentiment Analysis With Feature Noise |
| meta | Omnium: A Benchmark for General-Purpose Learning-to-Learn |
| meta | OOD Learning For Continuously Adaptive OOD Detection |
| meta | Pairwise Relationship Distillation for Unsupervised Person Re-identification |
| meta | PID Attention Network for Flexible and Efficient Real-World Noisy Image Denoising |
| meta | Pseudo Labels |
| meta | R-CNN: Towards General Solver for Instance-Level Low-Shot Learning |
| meta | Self-Learning for Multi-Source Domain Adaptation: A Benchmark |
| meta | Soft Label Generation for Noisy Labels |
| meta | Spatio-Temporal Debiasing for Video Scene Graph Generation |
| meta | Transfer Learning for Adaptive Vehicle Tracking in UAV Videos |
| meta | Transfer Learning for Facial Emotion Recognition |
| meta | underwater camera: A smart protocol for underwater image enhancement |
| meta | -action descriptor for action recognition in RGBD video |
| meta | -Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks |
| meta | -algorithm for classification by feature nomination, A |
| meta | -Analysis and Visualization of the Literature on Early Identification of Flash Floods |
| meta | -Analysis Assessing Potential of Drone Remote Sensing in Estimating Plant Traits Related to Nitrogen Use Efficiency |
| meta | -Analysis in Using Satellite Precipitation Products for Drought Monitoring: Lessons Learnt and Way Forward |
| meta | -analysis of deep neural networks in remote sensing: A comparative study of mono-temporal classification to support vector machines |
| meta | -analysis of Face Recognition Algorithms |
| meta | -analysis of face recognition covariates, A |
| meta | -Analysis of Remote Sensing Technologies and Methodologies for Crop Characterization, A |
| meta | -Analysis of the First Facial Expression Recognition Challenge |
| meta | -Analysis of the Impact of Skin Type and Gender on Non-contact Photoplethysmography Measurements, A |
| meta | -Analysis of Third-Party Evaluations of Iris Recognition |
| meta | -analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models |
| meta | -Analysis of Vibrotactile and Visual Information Displays for Improving Task Performance, A |
| meta | -Analysis of Wetland Classification Using Remote Sensing: A Systematic Review of a 40-Year Trend in North America |
| meta | -Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective, A |
| meta | -Attack: Class-agnostic and Model-agnostic Physical Adversarial Attack |
| meta | -attention for ViT-backed Continual Learning |
| meta | -Auxiliary Learning for Future Depth Prediction in Videos |
| meta | -Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis |
| meta | -Baseline: Exploring Simple Meta-Learning for Few-Shot Learning |
| meta | -Baseline: Exploring Simple Meta-Learning for Few-Shot Learning |
| meta | -BNS FOR Adversarial Data-Free Quantization |
| meta | -causal Feature Learning for Out-of-distribution Generalization |
| meta | -Causal Learning for Single Domain Generalization |
| meta | -class features for large-scale object categorization on a budget |
| meta | -classification of remote sensing reflectance to estimate trophic status of inland and nearshore waters |
| meta | -data Framework for Constructing Individualized Video Digest |
| meta | -DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning |
| meta | -DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning |
| meta | -DES: A dynamic ensemble selection framework using meta-learning |
| meta | -DES: A dynamic ensemble selection framework using meta-learning |
| meta | -DET3D: Learn to Learn Few-Shot 3D Object Detection |
| meta | -DETR: Image-Level Few-Shot Detection With Inter-Class Correlation Exploitation |
| meta | -Evaluation of Image Segmentation Using Machine Learning |
| meta | -Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding |
| meta | -FSEO: A Meta-Learning Fast Adaptation with Self-Supervised Embedding Optimization for Few-Shot Remote Sensing Scene Classification |
| meta | -FSEO: A Meta-Learning Fast Adaptation with Self-Supervised Embedding Optimization for Few-Shot Remote Sensing Scene Classification |
| meta | -Generating Deep Attentive Metric for Few-Shot Classification |
| meta | -GF: Training Dynamic-Depth Neural Networks Harmoniously |
| meta | -hallucinating prototype for few-shot learning promotion |
| meta | -Heuristic Algorithms for Automatic Detection of Microcalcifications In Digital Mammograms |
| meta | -heuristic intelligence based image processing |
| meta | -heuristics Applied to Multiple DG Allocation in Radial Distribution Network: A comparative study |
| meta | -Heuristics for Bi-Objective Urban Traffic Light Scheduling Problems |
| meta | -Knowledge Learning and Domain Adaptation for Unseen Background Subtraction |
| meta | -Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning |
| meta | -Learned Feature Critics for Domain Generalized Semantic Segmentation |
| meta | -Learned Initialization For 3D Human Recovery |
| meta | -Learned Kernel For Blind Super-Resolution Kernel Estimation |
| meta | -Learner Hybrid Models to Classify Hyperspectral Images |
| meta | -Learning |
| meta | -learning Approach for Domain Generalisation across Visual Modalities in Vehicle Re-identification, A |
| meta | -learning approach for selecting image segmentation algorithm, A |
| meta | -Learning Approach of Optimisation for Spatial Prediction of Landslides, A |
| meta | -Learning Approach to Conditional Random Fields Using Error-Correcting Output Codes, A |
| meta | -Learning Approach to Predicting Performance and Data Requirements, A |
| meta | -learning based relation and representation learning networks for single-image deraining |
| meta | -Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset |
| meta | -Learning for Adaptation of Deep Optical Flow Networks |
| meta | -learning for Adaptive Image Segmentation |
| meta | -learning for dynamic tuning of active learning on stream classification |
| meta | -Learning for Few-Shot Land Cover Classification |
| meta | -Learning for Multi-Label Few-Shot Classification |
| meta | -Learning Framework for Learning Multi-User Preferences in QoE Optimization of DASH, A |
| meta | -Learning in Neural Networks: A Survey |
| meta | -Learning Initializations for Interactive Medical Image Registration |
| meta | -Learning of Neural Architectures for Few-Shot Learning |
| meta | -Learning Paradigm and CosAttn for Streamer Action Recognition in Live Video |
| meta | -Learning Perspective for Personalized Image Aesthetics Assessment |
| meta | -Learning to Detect Rare Objects |
| meta | -Learning with a Geometry-Adaptive Preconditioner |
| meta | -learning with Context-Agnostic Initialisations |
| meta | -Learning With Differentiable Convex Optimization |
| meta | -Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions |
| meta | -learning with Network Pruning |
| meta | -Learning with Task-Adaptive Loss Function for Few-Shot Learning |
| meta | -learning with topic-agnostic representations for zero-shot stance detection |
| meta | -learning-based adversarial training for deep 3D face recognition on point clouds |
| meta | -Learning-Based Degradation Representation for Blind Super-Resolution |
| meta | -Learning-Based Incremental Few-Shot Object Detection |
| meta | -Meta Classification for One-Shot Learning |
| meta | -Meta Classification for One-Shot Learning |
| meta | -Methodology for Improving Land Cover and Land Use Classification with SAR Imagery, A |
| meta | -Mining Discriminative Samples for Kinship Verification |
| meta | -MSNet: Meta-Learning Based Multi-Source Data Fusion for Traffic Flow Prediction |
| meta | -MSNet: Meta-Learning Based Multi-Source Data Fusion for Traffic Flow Prediction |
| meta | -OLE: Meta-learned Orthogonal Low-Rank Embedding |
| meta | -OLE: Meta-learned Orthogonal Low-Rank Embedding |
| meta | -Optimization of the Extended Kalman Filter's Parameters Through the Use of the Bias Variance Equilibrium Point Criterion |
| meta | -Parameter Free Unsupervised Sparse Feature Learning |
| meta | -Personalizing Vision-Language Models to Find Named Instances in Video |
| meta | -Pi Network: Building Distributed Knowledge Representations for Robust Multisource Pattern Recognition, The |
| meta | -Pixel-Driven Embeddable Discriminative Target and Background Dictionary Pair Learning for Hyperspectral Target Detection |
| meta | -prototype Decoupled Training for Long-tailed Learning |
| meta | -Recognition: The Theory and Practice of Recognition Score Analysis |
| meta | -regression based pool size prediction scheme for dynamic selection of classifiers |
| meta | -Reinforcement Learning in Non-Stationary and Dynamic Environments |
| meta | -RPPG: Remote Heart Rate Estimation Using a Transductive Meta-learner |
| meta | -RPPG: Remote Heart Rate Estimation Using a Transductive Meta-learner |
| meta | -sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds |
| meta | -scheduler using agents for fault tolerance in computational grid |
| meta | -seg: A survey of meta-learning for image segmentation |
| meta | -seg: A survey of meta-learning for image segmentation |
| meta | -SIM2: Unsupervised Learning of Scene Structure for Synthetic Data Generation |
| meta | -Sim: Learning to Generate Synthetic Datasets |
| meta | -SR: A Magnification-Arbitrary Network for Super-Resolution |
| meta | -tag propagation by co-training an ensemble classifier for improving image search relevance |
| meta | -Teacher For Face Anti-Spoofing |
| meta | -Technique for Increasing Density of Local Stereo Methods through Iterative Interpolation and Warping, A |
| meta | -tracker: Fast and Robust Online Adaptation for Visual Object Trackers |
| meta | -tracking for video scene understanding |
| meta | -Transfer Learning for Few-Shot Learning |
| meta | -Transfer Learning for Zero-Shot Super-Resolution |
| meta | -Transfer Learning Through Hard Tasks |
| meta | -Transfer Metric Learning for Time Series Classification in 6G-Supported Intelligent Transportation Systems |
| meta | -transfer-adjustment learning for few-shot learning |
| meta | -Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection |
| meta | -UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning |
| meta | -UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning |
| meta | -VOS: Learning to Adapt Online Target-Specific Segmentation |
| meta | -Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction |
| meta | -XGBoost for Hyperspectral Image Classification Using Extended MSER-Guided Morphological Profiles |
| meta | -ZSDETR: Zero-shot DETR with Meta-learning |
| meta | -ZSDETR: Zero-shot DETR with Meta-learning |
| meta | : A City-Wide Taxi Repositioning Framework Based on Multi-Agent Reinforcement Learning |
| meta | Age: Meta-Learning Personalized Age Estimators |
| meta | AP: A meta-tree-based ranking algorithm optimizing the average precision from imbalanced data |
| meta | Correction: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation |
| meta | dapt: Meta-learned task-adaptive architecture for few-shot classification |
| meta | distiller: Network Self-boosting via Meta-learned Top-down Distillation |
| meta | DT: Meta Decision Tree With Class Hierarchy for Interpretable Few-Shot Learning |
| meta | FSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning |
| meta | Fusion: Infrared and Visible Image Fusion via Meta-Feature Embedding from Object Detection |
| meta | Inv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction |
| meta | IQA: Deep Meta-Learning for No-Reference Image Quality Assessment |
| meta | Med: Few-shot medical image classification using gradient-based meta-learning |
| meta | Mix: Improved Meta-Learning with Interpolation-based Consistency Regularization |
| meta | Pix: Domain transfer for semantic segmentation by meta pixel weighting |
| meta | Pruning: Meta Learning for Automatic Neural Network Channel Pruning |
| meta | SAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition |
| meta | Search: Incremental Product Search via Deep Meta-Learning |
| meta | Sets: Meta-Learning on Point Sets for Generalizable Representations |
| meta | Traj: Meta-Learning for Cross-Scene Cross-Object Trajectory Prediction |
| meta | VD: A Meta Video Dataset for enhancing human action recognition datasets |
| meta | Vers: Meta-Learned Versatile Representations for Personalized Federated Learning |
| meta | VG: A Meta-Learning Framework for Visual Grounding |
| Method and system using | meta | -classes and polynomial discriminant functions for handwriting recognition |
| MINet: | meta | -Learning Instance Identifiers for Video Object Detection |
| ML-DSVM+: A | meta | -learning based deep SVM+ for computer-aided diagnosis |
| MM-net: Learning Adaptive | meta | -metric for Few-shot Biometric Recognition |
| MORGAN: | meta | -Learning-based Few-Shot Open-Set Recognition via Generative Adversarial Network |
| Multi-label classification with | meta | -label-specific features |
| Multi-label X-ray Imagery Classification via Bottom-up Attention and | meta | Fusion |
| Multi-Modal | meta | Multi-Task Learning for Social Media Rumor Detection |
| Multi-Modal | meta | -Transfer Fusion Network for Few-Shot 3D Model Classification |
| Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with | meta | -heuristic optimization |
| Multi-scale Relation Network for Few-shot Learning Based on | meta | -learning |
| multi-scenario text generation method based on | meta | reinforcement learning, A |
| Multi-task | meta | label correction for time series prediction |
| Multi-Template | meta | -Information Regularized Network for Alzheimer's Disease Diagnosis Using Structural MRI |
| Multidimensional Belief Quantification for Label-Efficient | meta | -Learning |
| MVSSC: | meta | -reinforcement learning based visual indoor navigation using multi-view semantic spatial context |
| Neural Style Transfer via | meta | Networks |
| Neural-Symbolic Architecture for Inverse Graphics Improved by Lifelong | meta | -learning, A |
| Noisy Correspondence Learning with | meta | Similarity Correction |
| Non-rigid and Partial 3d Model Retrieval Using Hybrid Shape Descriptor and | meta | Similarity |
| Omni-Training: Bridging Pre-Training and | meta | -Training for Few-Shot Learning |
| On | meta | -learning for Dynamic Ensemble Selection |
| On Modulating the Gradient for | meta | -learning |
| Online | meta | Adaptation for Fast Video Object Segmentation |
| Online | meta | Adaptation for Variable-Rate Learned Image Compression |
| Online | meta | -learning for Multi-source and Semi-supervised Domain Adaptation |
| Online-adaptive classification and regression network with sample-efficient | meta | learning for long-term tracking |
| Open Domain Generalization with Domain-Augmented | meta | -Learning |
| Optimal polygonal approximation of digital planar curves using | meta | heuristics |
| Organizing a personal image collection with statistical model-based ICL clustering on spatio-temporal camera phone | meta | -data |
| Out-of-Sample Extension to Manifold Learning via | meta | -Modeling, An |
| PAC-Bayes | meta | -Learning With Implicit Task-Specific Posteriors |
| Parametric | meta | -filter modeling from a single example pair |
| Partition of unity parametrics: a framework for | meta | -modeling |
| Peak Period Demand Forecasting with Proxy Data: GNN-Enhanced | meta | -Learning |
| Person30K: A Dual- | meta | Generalization Network for Person Re-Identification |
| Personalized Face Authentication Based on Few-Shot | meta | -Learning |
| Personalized Image Aesthetics Assessment via | meta | -Learning With Bilevel Gradient Optimization |
| Picking Groups Instead of Samples: A Close Look at Static Pool-Based | meta | -Active Learning |
| Pixel-Level | meta | -Learner for Weakly Supervised Few-Shot Semantic Segmentation, A |
| Plots to Previews: Towards Automatic Movie Preview Retrieval using Publicly Available | meta | -data |
| Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask | meta | -Auxiliary Learning |
| Pose-robust Face Recognition by Deep | meta | Capsule network-based Equivariant Embedding |
| Prediction of Grassland Biodiversity Using Measures of Spectral Variance: A | meta | -Analytical Review |
| Progressive | meta | -Learning With Curriculum |
| protein sequence | meta | -functional signature for calcium binding residue prediction, A |
| Pseudo-Labeling and | meta | Reweighting Learning for Image Aesthetic Quality Assessment |
| Reasoning About Images: Using | meta | -Knowledge in Aerial Image Understanding |
| Reconstruction Guided | meta | -Learning for Few Shot Open Set Recognition |
| Regularizing | meta | -learning via Gradient Dropout |
| Reinforcing Generated Images via | meta | -Learning for One-Shot Fine-Grained Visual Recognition |
| Remote Sensing and Machine Learning Tools to Support Wetland Monitoring: A | meta | -Analysis of Three Decades of Research |
| Remote sensing image segmentation advances: A | meta | -analysis |
| Rethinking Clustering-Based Pseudo-Labeling for Unsupervised | meta | -Learning |
| Review and | meta | -Analysis of Multimodal Affect Detection Systems, A |
| Revisiting Unsupervised | meta | -Learning via the Characteristics of Few-Shot Tasks |
| RMAML: Riemannian | meta | -learning with orthogonality constraints |
| Robust | meta | -Representation Learning via Global Label Inference and Classification |
| Robust Online Tracking With | meta | -Updater |
| Robust Pan, Tilt and Zoom Estimation for PTZ Camera by Using | meta | Data and/or Frame-to-Frame Correspondences |
| Safe RuleFit: Learning Optimal Sparse Rule Model by | meta | Safe Screening |
| SafePredict: A | meta | -Algorithm for Machine Learning That Uses Refusals to Guarantee Correctness |
| Scene-Adaptive Video Frame Interpolation via | meta | -Learning |
| Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble | meta | -Heuristics and Q-Learning Based Local Search |
| SDBAD-Net: A Spatial Dual-Branch Attention Dehazing Network Based on | meta | -Former Paradigm |
| Segmentation using | meta | -texture Saliency |
| Selecting Algorithms Without | meta | -features |
| Self-Sampling | meta | SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning |
| Self-Sampling | meta | SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning |
| Self-Supervised Video Representation Learning with | meta | -Contrastive Network |
| Self-supervision and | meta | -learning for one-shot unsupervised cross-domain detection |
| Semi-supervised Image | meta | -filtering in Cultural Heritage Applications |
| Semi-Supervised Single-Image Dehazing Network via Disentangled | meta | -Knowledge |
| Shallow Bayesian | meta | Learning for Real-World Few-Shot Recognition |
| Shape-from-recognition: Recognition enables | meta | -data transfer |
| SigmML: Metric | meta | -learning for Writer Independent Offline Signature Verification in the Space of SPD Matrices |
| Sign Classification using Local and | meta | -Features |
| Simple Recipe to | meta | -Learn Forward and Backward Transfer, A |
| SML: Semantic | meta | -learning for few-shot semantic segmentation? |
| Social Processes: Self-supervised | meta | -learning Over Conversational Groups for Forecasting Nonverbal Social Cues |
| Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using | meta | -Heuristics |
| Statistical | meta | -Analysis of Presentation Attacks for Secure Multibiometric Systems |
| Stochastic | meta | -Descent for Tracking Articulated Structures |
| Structural Attention Enhanced Continual | meta | -Learning for Graph Edge Labeling Based Few-Shot Remote Sensing Scene Classification |
| Style Uncertainty Based Self-Paced | meta | Learning for Generalizable Person Re-Identification |
| StyleAdv: | meta | Style Adversarial Training for Cross-Domain Few-Shot Learning |
| Substitute | meta | -Learning for Black-Box Adversarial Attack |
| Supplementary | meta | -Learning: Towards a Dynamic Model for Deep Neural Networks |
| systematic review and | meta | -analysis of Digital elevation model (DEM) fusion: pre-processing, methods and applications, A |
| Task Agnostic | meta | -Learning for Few-Shot Learning |
| Task-based Focal Loss for Adversarially Robust | meta | -Learning |
| Task2Vec: Task Embedding for | meta | -Learning |
| Test-Time Adaptation for Video Frame Interpolation via | meta | -Learning |
| Test-Time Fast Adaptation for Dynamic Scene Deblurring via | meta | -Auxiliary Learning |
| Textual Enhanced Adaptive | meta | -Fusion for Few-Shot Visual Recognition |
| Time series classifier recommendation by a | meta | -learning approach |
| Towards Latent Space Optimization of GANs Using | meta | -Learning |
| Towards open-set touchless palmprint recognition via weight-based | meta | metric learning |
| Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and | meta | -Learning |
| Towards Robustness: Enhancing Deep Learning Models Through | meta | -Learning and Bilevel Optimization for Accurate Car Damage Classification |
| Tracking by Instance Detection: A | meta | -Learning Approach |
| Training Noise-Robust Deep Neural Networks via | meta | -Learning |
| Transfer | meta | Learning |
| Transformers as | meta | -learners for Implicit Neural Representations |
| Transtrack: Online | meta | -transfer learning and Otsu segmentation enabled wireless gesture tracking |
| UAV Maneuvering Target Tracking in Uncertain Environments Based on Deep Reinforcement Learning and | meta | -Learning |
| Uncertainty in Model-Agnostic | meta | -Learning using Variational Inference |
| Unsupervised descriptor selection based | meta | -learning networks for few-shot classification |
| Unsupervised Domain Adaptation for Medical Image Segmentation Using Transformer With | meta | Attention |
| Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned | meta | -Adaptation |
| Unsupervised | meta | Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification |
| Unsupervised | meta | -Domain Adaptation for Fashion Retrieval |
| Unsupervised | meta | -learning for few-shot learning |
| Unsupervised Reinforcement Learning of Transferable | meta | -Skills for Embodied Navigation |
| Using Gaussian-Process Regression for | meta | -Analytic Neuroimaging Inference Based on Sparse Observations |
| Using | meta | Labels for the Training of Weighting Models in a Sample-Specific Late Fusion Classification Architecture |
| Variational HyperAdam: A | meta | -Learning Approach to Network Training |
| Video Restoration Framework and Its | meta | -adaptations to Data-Poor Conditions |
| Visual Goal-Directed | meta | -Imitation Learning |
| visual keyboard: Real-time feet tracking for the control of musical | meta | -instruments, The |
| Visual Question Answering as a | meta | Learning Task |
| Visually Guided Audio Source Separation with | meta | Consistency Learning |
| Voxel selection framework based on | meta | -heuristic search and mutual information for brain decoding |
| Weakly Supervised Few-Shot Segmentation via | meta | -Learning |
| Weakly Supervised Few-Shot Semantic Segmentation via Pseudo Mask Enhancement and | meta | Learning |
| Wetland Monitoring Using SAR Data: A | meta | -Analysis and Comprehensive Review |
| What Matters For | meta | -Learning Vision Regression Tasks? |
| XDNet: A Few-Shot | meta | -Learning Approach for Cross-Domain Visual Inspection |
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