Index for resid

_residence_
Comparison of residence Time Estimation Methods for Radioimmunotherapy Dosimetry and Treatment Planning: Monte Carlo Simulation Studies
Detecting the Spatial Association between Commercial Sites and residences in Beijing on the Basis of the Colocation Quotient
Distributed Scatterer InSAR Reveals Surface Motion of the Ancient Chaoshan residence Cluster in the Lianjiang Plain, China
Do Locations of Employment and residence Influence whether People Use Virtual Social Networks? A Case Study of Residents in Wuhan, China
Early Detection of Suspicious Behaviors for Safe residence from Movement Trajectory Data
Evacuation Simulation in Kalayaan residence Hall, UP Diliman Using GAMA Simulation Software
Examination of the Distribution of White-Collar Worker residences in Tokyo and Osaka during the Modernizing Period, An
Exploring the Interactive Associations between Urban Built Environment Features and the Distribution of Offender residences with a GeoDetector Model
Graph-Based residence Location Inference for Social Media Users
Grey System Theory in Research into Preferences Regarding the Location of Place of residence within a City
Measuring the Potential and Realized (or Revealed) Spatial Access from Places of residence and Work to Food Outlets in Rural Communities of Quebec, Canada
11 for residence

_resident_
Comparing residents' Fear of Crime with Recorded Crime Data: Case Study of Ostrava, Czech Republic
Discussion About Effective Ways Of Basic resident Register on GIS, A
Do Locations of Employment and Residence Influence whether People Use Virtual Social Networks? A Case Study of residents in Wuhan, China
Driving Factors and Scale Effects of residents' Willingness to Pay for Environmental Protection under the Impact of COVID-19
Environmental Differences between Migratory and resident Ungulates: Predicting Movement Strategies in Rocky Mountain Mule Deer (Odocoileus hemionus) with Remotely Sensed Plant Phenology, Snow, and Land Cover
Explaining Theft Using Offenders' Activity Space Inferred from residents' Mobile Phone Data
Exploring the Spatiotemporal Patterns of residents' Daily Activities Using Text-Based Social Media Data: A Case Study of Beijing, China
Identification of contributing factors on travel mode choice among different resident types with bike-sharing as an alternative
Identifying Urban residents' Activity Space at Multiple Geographic Scales Using Mobile Phone Data
Improving Globalland30 Artificial Type Extraction Accuracy In Low-density residents
Mapping Creative Spaces in Omaha, NE: resident Perceptions versus Creative Firm Locations
Measuring residents' perceptions of city streets to inform better street planning through deep learning and space syntax
Nanjing's Intracity Tourism Flow Network Using Cellular Signaling Data: A Comparative Analysis of residents and Non-Local Tourists
One Shell of a Problem: Cumulative Threat Analysis of Male Sea Turtles Indicates High Anthropogenic Threat for Migratory Individuals and Gulf of Mexico residents
Passive Electro-Optical Tracking of resident Space Objects for Distributed Satellite Systems Autonomous Navigation
Perceiving residents' Festival Activities Based on Social Media Data: A Case Study in Beijing, China
Recognition of Urban Functions and Mixed Use Based on residents' Movement and Topic Generation Model: The Case of Wuhan, China
Research on Comfort Evaluation Model of Urban residents' Public Space Lighting Integrating Public Perception and Nighttime Light Remote Sensing Data
resident activity pattern recognition and comparison of six Sino-American metropolises
resident Location-Recognition Algorithm Using a Bayesian Classifier in the PIR Sensor-Based Indoor Location-Aware System
residents' Experiential Knowledge and Its Importance for Decision-Making Processes in Spatial Planning: A PPGIS Based Study
RETRACTED: Spatiotemporal Analysis of Tourists and residents in Shanghai Based on Location-Based Social Network's Data from Weibo
Robots in Retirement Homes: Person Search and Task Planning for a Group of residents by a Team of Assistive Robots
sMRT: Multi-resident Tracking in Smart Homes With Sensor Vectorization
Spatial Association between residents' Leisure Activities and Tourism Activities Using Colocation Pattern Measures: A Case Study of Nanjing, China, The
Survey on Device-Free Indoor Localization and Tracking in the Multi-resident Environment, A
TOD District Planning Based on residents' Perspectives
Understanding Citywide resident Mobility Using Big Data of Electronic Registration Identification of Vehicles
Urban resident Travel Survey Method Based on Cellular Signaling Data
Video measurement of resident-on-resident physical aggression in nursing homes
Video measurement of resident-on-resident physical aggression in nursing homes
Visual tracking of resident space objects via an RFS-based multi-Bernoulli track-before-detect method
32 for resident

_residential_
Architectural Features and Preservation of Ancient residential Complexes of the Changs in Xiangan, Xiamen
Assessing Spatial Accessibility of Public and Private residential Aged Care Facilities: A Case Study in Wuhan, Central China
Assessment of MODIS, MERIS, GEOV1 FPAR Products over Northern China with Ground Measured Data and by Analyzing residential Effect in Mixed Pixel
Automated residential Area Generalization: Combination of Knowledge-Based Framework and Similarity Measurement
Automatic Detection of residential Buildings Using LIDAR Data and Multispectral Imagery
Automatic Extracting residential Areas from Color Scanned Topographical Maps
Automatic Extraction Method for Hatched residential Areas in Raster Maps Based on Multi-Scale Feature Fusion, An
Building Extraction from High Resolution Space Images in High Density residential Areas in the Great Cairo Region
Cooperative Charging in residential Areas
Decoding Spontaneous Informal Spaces in Old residential Communities: A Drone and Space Syntax Perspective
Deep Learning-Based Classification and Reconstruction of residential Scenes From Large-Scale Point Clouds
Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction
Defining Densities For Urban residential Texture, Through Land Use Classification, From Landsat Tm Imagery: Case Study Of Spanish Mediterranean Coast
Detection of Flood Damage in Urban residential Areas Using Object-Oriented UAV Image Analysis Coupled with Tree-Based Classifiers
Development of a Novel Framework to Propose New Strategies for Automated External Defibrillators Deployment Targeting residential Out-Of-Hospital Cardiac Arrests: Application to the City of Milan
Does Income Inequality Explain the Geography of residential Burglaries? The Case of Belo Horizonte, Brazil
Energy Consumption Patterns of residential Users: A Study in Greece
Energy Savings in residential Buildings Based on Adaptive Thermal Comfort Models
Estimating the Impacts of Proximity to Public Transportation on residential Property Values: An Empirical Analysis for Hartford and Stamford Areas, Connecticut
Estimation of Usable Area of Flat-Roof residential Buildings Using Topographic Data with Machine Learning Methods
Evaluating Multi-Sensor Nighttime Earth Observation Data for Identification of Mixed vs. residential Use in Urban Areas
Evaluating Street Lighting Quality in residential Areas by Combining Remote Sensing Tools and a Survey on Pedestrians' Perceptions of Safety and Visual Comfort
Evaluating Temporal Analysis Methods Using residential Burglary Data
Evaluating Visual Impressions Based on Gaze Analysis and Deep Learning: A Case Study of Attractiveness Evaluation of Streets in Densely Built-up Wooden residential Area
Exploring the Attractiveness of residential Areas for Human Activities Based on Shared E-Bike Trajectory Data
Extracting residential Area Information from Dual-SAR Image Based on Object-Oriented Technique
Extraction of residential Building Instances in Suburban Areas from Mobile LiDAR Data
Fast and Robust Fingerprint Identification Algorithm and Its Application to residential Access Controller
Global and Local Saliency Analysis for the Extraction of residential Areas in High-Spatial-Resolution Remote Sensing Image
Grid pattern based residential area detection from Hyperion data
HEAT: Home Energy Assessment Technologies: a web based system for residential waste heat analysis using airborne thermal imagery
Heat: Home Energy Assessment Technologies: A WEB2.0 residential Waste Heat Analysis Using Geobia and Airborne Thermal Imagery
Heterogeneity of Air Temperature in Urban residential Neighborhoods and Its Relationship with the Surrounding Greenspace, The
Housing-Unit-Level Approach to Characterizing residential Sprawl, A
How to Systematically Evaluate the Greenspace Exposure of residential Communities? A 3-D Novel Perspective Using UAV Photogrammetry
Image Segmentation Parameter Optimization Considering Within- and Between-Segment Heterogeneity at Multiple Scale Levels: Test Case for Mapping residential Areas Using Landsat Imagery
Impact of Strike Hard on Repeat and Near-Repeat residential Burglary in Beijing, The
Impact of Urban Public Transport on residential Transaction Prices: A Case Study of Poznan, Poland, The
Impacts of Public Schools on Housing Prices of residential Properties: A Case Study of Greater Sydney, Australia, The
Influence of Number of Features on Texture Based residential Area Extraction from Remotely Sensed Imagery
Influences of Built Environment at residential and Work Locations on Commuting Distance: Evidence from Wuhan, China
Investigating Factors Related to Criminal Trips of residential Burglars Using Spatial Interaction Modeling
Isolated or Colocated? Exploring the Spatio-Temporal Evolution Pattern and Influencing Factors of the Attractiveness of residential Areas to Restaurants in the Central Urban Area
Journey-to-Crime Distances of residential Burglars in China Disentangled: Origin and Destination Effects
Machine Learning of Usable Area of Gable-Roof residential Buildings Based on Topographic Data
Mapping Carbon Monoxide Pollution of residential Areas in a Polish City
Mapping residential Vacancies with Multisource Spatiotemporal Data: A Case Study in Beijing
Mapping the Urban Population in residential Neighborhoods by Integrating Remote Sensing and Crowdsourcing Data
Massive-scale visual information retrieval towards city residential environment surveillance
Measurement of Opportunity Cost of Travel Time for Predicting Future residential Mobility Based on the Smart Card Data of Public Transportation
Measuring Accessibility of Healthcare Facilities for Populations with Multiple Transportation Modes Considering residential Transportation Mode Choice
Method and apparatus to reduce false alarms in exit/entrance situations for residential security monitoring
Mining residential household information from low-resolution smart meter data
Modeling Spatial Effect in residential Burglary: A Case Study from ZG City, China
Multi-Criteria Decision Making (MCDM) Model for Seismic Vulnerability Assessment (SVA) of Urban residential Buildings
Multi-Scale residential Areas Matching Method Considering Spatial Neighborhood Features, A
Multi-Scale residential Areas Matching Method Using Relevance Vector Machine and Active Learning, A
Multi-Type Features Embedded Deep Learning Framework for residential Building Prediction
Neural Procedural Reconstruction for residential Buildings
Patterns and Mechanisms of residential Mobility in Nanjing, China: Insights from the Mantel Test, The
Point Cloud Filtering Approach to Generating DTMs for Steep Mountainous Areas and Adjacent residential Areas, A
Propagating Updates of residential Areas in Multi-Representation Databases Using Constrained Delaunay Triangulations
Quantification of Spatial Association between Commercial and residential Spaces in Beijing Using Urban Big Data
Refinement Method For residential Area Revision Using Remote Sensing Image and GIS Data in Earthquake Risk Assessment
residential Area Extraction Based on Saliency Analysis for High Spatial Resolution Remote Sensing Images
residential Area Recognition Using Oscillatory Correlation Segmentation of Hyperspectral Imagery
residential Building Reconstruction Based on the Data Fusion of Sparse LiDAR Data and Satellite Imagery
residential Buildings By Giuseppe Terragni in Como: Proposals For Integration Between Research, Communication and Valorisation Of Heritage
residential Extraction Based on Weakly-Supervised Similarity-Aware Multi-Source Alignment Strategy with Limited SAR Data
residential floor plan recognition and reconstruction
Revealing the Impact of COVID-19 on Urban residential Travel Structure Based on Floating Car Trajectory Data: A Case Study of Nantong, China
Road Network Generalization Method Constrained by residential Areas
Roof-GAN: Learning to Generate Roof Geometry and Relations for residential Houses
Rooftop Surface Temperature Analysis in an Urban residential Environment
Sensitivity Analysis of Machine Learning Models for the Mass Appraisal of Real Estate. Case Study of residential Units in Nicosia, Cyprus
Sixty-Year Changes in residential Landscapes in Beijing: A Perspective from Both the Horizontal (2D) and Vertical (3D) Dimensions
Spatial Analysis of Urban residential Sensitivity to Heatwave Events: Case Studies in Five Megacities in China
Spatial Variation Relationship between Floating Population and residential Burglary: A Case Study from ZG, China
Spatiotemporal Evolution of residential Exposure to Green Space in Beijing
Spatiotemporal Patterns Evolution of residential Areas and Transportation Facilities Based on Multi-Source Data: A Case Study of Xi'an, China
system to detect houses and residential street networks in multispectral satellite images, A
system to detect residential area in multispectral satellite images, A
Testing the New 3d Bag Dataset for Energy Demand Estimation Of residential Buildings
Theoretical Accuracy Prediction And Validation of Low-end And High-end Mobile Mapping System in Urban, residential And Rural Areas
Towards Increasing residential Market Transparency: Mapping Local Housing Prices and Dynamics
Transnational Accessibility between residential Areas Based on Multimodal Transport System
Urban Imperviousness Effects on Summer Surface Temperatures Nearby residential Buildings in Different Urban Zones of Parma
Urban Water Demand Simulation in residential and Non-Residential Buildings Based on a CityGML Data Model
Urban Water Demand Simulation in residential and Non-Residential Buildings Based on a CityGML Data Model
Use of Unmanned Aerial Vehicles to Estimate Direct Tangible Losses to residential Properties from Flood Events: A Case Study of Cockermouth Following the Desmond Storm, The
Using GIS and Machine Learning to Classify residential Status of Urban Buildings in Low and Middle Income Settings
Using Isovists in Measuring Surveillance and Expected Guardianship in residential Neighborhood Property Crimes
V2V Energy Trading in residential Microgrids Considering Multiple Constraints via Bayesian Game
Virtual Domotic Systems: A 3D interaction technique to control virtual building devices using residential gateways
Virtual Geographic Environment for Debris Flow Risk Analysis in residential Areas, A
95 for residential

_residual_
1-D Transforms for the Motion Compensation residual
1080p H.264/AVC Baseline residual Encoder for a Fine-Grained Many-Core System, A
3-D residual Eddy Current Field Characterisation: Applied to Diffusion Weighted Magnetic Resonance Imaging
360-Degree Image Super-Resolution Based on Single Image Sample and Progressive residual Generative Adversarial Network
3D RANs: 3D residual Attention Networks for action recognition
3D residual Interpolation for Spike Camera Demosaicing
3D Segmentation of residual Thyroid Tissue Using Constrained Region Growing and Voting Strategies
3DRRDB: Super Resolution of Multiple Remote Sensing Images using 3D residual in Residual Dense Blocks
3DRRDB: Super Resolution of Multiple Remote Sensing Images using 3D residual in Residual Dense Blocks
4-Connected Shift residual Networks
Accurate Salient Object Detection via Dense Recurrent Connections and residual-Based Hierarchical Feature Integration
ACGIS: Adversarial Cover Generator for Image Steganography with Noise residuals Features-Preserving
Adaptive feature selection based on reconstruction residual and accurately located landmarks for expression-robust 3D face recognition
Adaptive Image Compression Using GAN based Semantic-perceptual residual Compensation
Adaptive Multiscale Deep Fusion residual Network for Remote Sensing Image Classification
adaptive residual decorrelation method for HEVC, An
Adaptive residual interpolation for color image demosaicking
Adaptive residual mapping for an efficient extension layer coding in two-layer HDR video coding
Adaptive residual Networks for High-Quality Image Restoration
Adaptive transform skipping for improved coding of motion compensated residuals
Adjusting Shape Parameters Using Model-Based Optical Flow residuals
Advanced residual predction in 3D-HEV
Advances in residual Vector Quantization: A Review
Adversarial Multi-Path residual Network for Image Super-Resolution
AF-SRNet: Quantitative Precipitation Forecasting Model Based on Attention Fusion Mechanism and residual Spatiotemporal Feature Extraction
Aggregated residual transformation network for multistage classification in diabetic retinopathy
Aggregated residual Transformations for Deep Neural Networks
AL-MRIS: An Active Learning-Based Multipath residual Involution Siamese Network for Few-Shot Hyperspectral Image Classification
Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual residuals, The
Algorithm on the Estimation of residual Motion Errors in Airborne SAR Images
Analysis of Regional and residual Gravity Disturbance of Major Fault Belts in the Tarim Basin, Western China
Analysis of Sketched IRLS for Accelerated Sparse residual Regression, An
Analysis of Spatio-Temporal Representations for Robust Footstep Recognition with Deep residual Neural Networks
Analysis of the temporal correlations of TLS range observations from plane fitting residuals
Anisotropic Spatiotemporal Regularization in Compressive Video Recovery by Adaptively Modeling the residual Errors as Correlated Noise
Apparent and Real Age Estimation in Still Images with Deep residual Regressors on Appa-Real Database
Applying (3+2+1)D residual Neural Network with Frame Selection for Hong Kong Sign Language Recognition
Approximate 4D Reconstruction of Cardiac-Gated Spect Images Using a residual Convolutional Neural Network
ARU-Net: Reduction of Atmospheric Phase Screen in SAR Interferometry Using Attention-Based Deep residual U-Net
Assessment of Rangeland Degradation in New Mexico Using Time Series Segmentation and residual Trend Analysis (TSS-RESTREND)
Asymmetric Convolutional residual Network for AV1 Intra in-Loop Filtering
Asymmetric Learned Image Compression With Multi-Scale residual Block, Importance Scaling, and Post-Quantization Filtering
Asymptotic Closed-Loop Design Of Transform Modes For The Inter-Prediction residual In Video Coding
Atmospheric Correction of OLCI Imagery over Extremely Turbid Waters Based on the Red, NIR and 1016 nm Bands and a New Baseline residual Technique
Attention augmented residual autoencoder for efficient polyp segmentation
Attention Based residual Network for Micro-Gesture Recognition
Attention residual Learning for Skin Lesion Classification
Attention-Based Multiscale residual Adaptation Network for Cross-Scene Classification
Attention-Based residual Network with Scattering Transform Features for Hyperspectral Unmixing with Limited Training Samples
Attentional Pyramid Pooling of Salient Visual residuals for Place Recognition
Attentive Composite residual Network for Robust Rain Removal from Single Images
AUTODEPTH: Single Image Depth Map Estimation via residual CNN Encoder-Decoder and Stacked Hourglass
Autofocus Algorithm for Estimating residual Trajectory Deviations in Synthetic Aperture Radar, An
Autofocus Approach for residual Motion Errors With Application to Airborne Repeat-Pass SAR Interferometry, An
Autofocus Correction of residual RCM for VHR SAR Sensors With Light-Small Aircraft
Automated Event Detection and Denoising Method for Passive Seismic Data Using residual Deep Convolutional Neural Networks
Automated Melanoma Recognition in Dermoscopy Images via Very Deep residual Networks
Automated quality classification of colour fundus images based on a modified residual dense block network
Automatic Building Extraction from High-Resolution Aerial Images and LiDAR Data Using Gated residual Refinement Network
Automatic defect inspection system for beer bottles based on deep residual learning
Automatic Model Selection by Modelling the Distribution of residuals
Automotive Radar Interference Mitigation with Unfolded Robust PCA based on residual Overcomplete Auto-Encoder Blocks
Autoregressive Image Generation using residual Quantization
AuxBranch: Binarization residual-aware network design via auxiliary branch search
AV1 in-loop Filtering using a Wide-Activation Structured residual Network
Averaged Properties of the residual Error in Sparse Signal Reconstruction
Background Prior-Based Salient Object Detection via Deep Reconstruction residual
Balanced Two-Stage residual Networks for Image Super-Resolution
Bayesian Hybrid Loss for Hyperspectral SISR Using 3D Wide residual CNN
BDD-Net: An End-to-End Multiscale residual CNN for Earthquake-Induced Building Damage Detection
Beyond a Gaussian Denoiser: residual Learning of Deep CNN for Image Denoising
Beyond Color Difference: residual Interpolation for Color Image Demosaicking
Beyond Deep residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification
Bi-READ: Bi-residual AutoEncoder based feature enhancement for video anomaly detection
Bidirectional Feature Pyramid Network with Recurrent Attention residual Modules for Shadow Detection
Bilateral Context Modeling for residual Coding in Lossless 3D Medical Image Compression
Binary residual feature pyramid network: An improved feature fusion module based on double-channel residual pyramid structure for autonomous detection algorithm
Binary residual feature pyramid network: An improved feature fusion module based on double-channel residual pyramid structure for autonomous detection algorithm
BIPS: Bi-modal Indoor Panorama Synthesis via residual Depth-Aided Adversarial Learning
Bit-depth scalable video coding using error residual correction
Blind Image Quality Assessment with Channel Attention Based Deep residual Network and Extended LargeVis Dimensionality Reduction
BlockDrop: Dynamic Inference Paths in residual Networks
Blood-contaminated endoscopic image restoration based on residual VQ-VAE with cascaded structure
Blueprint Separable residual Network for Efficient Image Super-Resolution
Blur identification by residual spectral matching
Boosting View Synthesis with residual Transfer
BReG-NeXt: Facial Affect Computing Using Adaptive residual Networks With Bounded Gradient
BR^2 Net: Defocus Blur Detection Via a Bidirectional Channel Attention residual Refining Network
Building Footprint Extraction from High-Resolution Images via Spatial residual Inception Convolutional Neural Network
Camera model identification with residual neural network
CARNet: Context-Aware residual Learning for JPEG-LS Compressed Remote Sensing Image Restoration
Cascade Attention Blend residual Network for Single Image Super-Resolution
Cascade residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching
Cascade residuals guided nonlinear dictionary learning
Cascaded Networks for the Embryo Classification on Microscopic Images Using the residual External-Attention
Cascaded residual Attention Enhanced Road Extraction from Remote Sensing Images
Cascaded residual Density Network for Crowd Counting
Cascading and Enhanced residual Networks for Accurate Single-Image Super-Resolution
Cell Image Segmentation Method Based on Edge Feature residual Fusion
Channel Attention Based Iterative residual Learning for Depth Map Super-Resolution
Characteristics of disparity-compensated stereo image pair residuals
Characteristics of the residual Surface Deformation of Multiple Abandoned Mined-Out Areas Based on a Field Investigation and SBAS-InSAR: A Case Study in Jilin, China
Characterizing residual Current Circulation and Its Response Mechanism to Wind at a Seasonal Scale Based on High-Frequency Radar Data
Classification Method of Breast Pathological Image Based on residual Learning, A
Classification of breast cancer histopathological image with deep residual learning
Classification of Vegetation over a residual Megafan Landform in the Amazonian Lowland Based on Optical and SAR Imagery
Classifier Introducing Transition Likelihood Model Based on Quantization residual
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion
Clouds Classification from Sentinel-2 Imagery with Deep residual Learning and Semantic Image Segmentation
CNN-Combined Graph residual Network with Multilevel Feature Fusion for Hyperspectral Image Classification
Coarse-to-Fine Image DeHashing Using Deep Pyramidal residual Learning
Coding of Image Intra Prediction residuals Using Symmetric Graphs
Coding of Motion Compensation residuals Using Edge Information
Color difference weighted adaptive residual preprocessing using perceptual modeling for video compression
Color Feature Reinforcement for Cosaliency Detection Without Single Saliency residuals
Color Image Demosaicing Using Iterative residual Interpolation
Color image demosaicking via deep residual learning
Color Image Quality Assessment Based on Sparse Representation and Reconstruction residual
Combination of Deep Autoencoder and Multi-Scale residual Network for Landslide Susceptibility Evaluation, A
Combination of multi-scale and residual learning in deep CNN for image denoising
Combined Machine Learning and residual Analysis Approach for Improved Retrieval of Shallow Bathymetry from Hyperspectral Imagery and Sparse Ground Truth Data, A
Combining residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones
Comparison of DCT and Gabor Filters in residual Extraction of CNN Based JPEG Steganalysis
Competitive learning/ reflected residual vector quantization for coding angiogram images
Compression of residual layers of layered depth video using hierarchical block truncation coding
Compressive Sensing Multi-Layer residual Coefficients for Image Coding
Compressive sensing reconstruction of hyperspectral images based on codec space-spectrum joint dense residual network
Conditional Entropy-Constrained residual VQ with Application to Image-Coding
Conditional Transfer with Dense residual Attention: Synthesizing traffic signs from street-view imagery
Congestive Heart Failure Detection From ECG Signals Using Deep residual Neural Network
Constrained gradient descent algorithm for residual vector quantizer design
Constrained MMSE LP residual Estimator for Speech Dereverberation in Noisy Environments, A
Content-Adaptive residual for Steganalysis
Context prior-based with residual learning for face detection: A deep convolutional encoder-decoder network
Context-Aware residual Module for Image Classification
Context-aware residual Network with Promotion Gates for Single Image Super-resolution
Contextual residual Aggregation for Ultra High-Resolution Image Inpainting
Continuous Face Aging via Self-estimated residual Age Embedding
Continuous learning deraining network based on residual FFT convolution and contextual transformer module
Contrastive Self-Supervised Two-Domain residual Attention Network with Random Augmentation Pool for Hyperspectral Change Detection
Convolutional Neural Network for Pavement Surface Crack Segmentation Using residual Connections and Attention Gating, A
Convolutional residual Network for Grasp Localization
Corrected rank residual constraint model for image denoising
CPR-GCN: Conditional Partial-residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
CREST: Convolutional residual Learning for Visual Tracking
Cross Domain residual Transfer Learning for Person Re-Identification
Cross residual transform for lossless intra-coding for HEVC
Cross-cumulative residual entropy-based medical image registration via hybrid differential search algorithm
Cross-Modal Feature Representation Learning and Label Graph Mining in a residual Multi-Attentional CNN-LSTM Network for Multi-Label Aerial Scene Classification
Cross-Scale residual Network: A General Framework for Image Super-Resolution, Denoising, and Deblocking
Cross-Sensor Nighttime Lights Image Calibration for DMSP/OLS and SNPP/VIIRS with residual U-Net
CT Super-Resolution GAN Constrained by the Identical, residual, and Cycle Learning Ensemble (GAN-CIRCLE)
CTHD-Net: CNN-Transformer hybrid dehazing network via residual global attention and gated boosting strategy
Cumulative residual entropy, a new measure of information and its application to image alignment
DA-IMRN: Dual-Attention-Guided Interactive Multi-Scale residual Network for Hyperspectral Image Classification
DAResNet Based on double-layer residual block for restoring industrial blurred images
DARN: A Deep Adversarial residual Network for Intrinsic Image Decomposition
DC Coefficient Estimation of Intra-Predicted residuals in HEVC
DC coefficient estimation of intra-predicted residuals in high efficiency video coding
DCT-Based residual Network for NIR Image Colorization
DeAR: Debiasing Vision-Language Models with Additive residuals
Deep artifact-free residual network for single-image super-resolution
Deep Autoencoders with Aggregated residual Transformations for Urban Reconstruction from Remote Sensing Data
Deep contextual recurrent residual networks for scene labeling
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet residual Network
Deep cross residual network for HEp-2 cell staining pattern classification
Deep Cross-species Feature Learning for Animal Face Recognition via residual Interspecies Equivariant Network
Deep Edge Guided Recurrent residual Learning for Image Super-Resolution
Deep Feature Fusion with Integration of residual Connection and Attention Model for Classification of VHR Remote Sensing Images
Deep Generative Adversarial residual Convolutional Networks for Real-World Super-Resolution
Deep Image Demosaicking Using a Cascade of Convolutional residual Denoising Networks
Deep Impression: Audiovisual Deep residual Networks for Multimodal Apparent Personality Trait Recognition
Deep Inverse Halftoning via Progressively residual Learning
Deep Irregular Convolutional residual LSTM for Urban Traffic Passenger Flows Prediction
Deep Iterative residual Convolutional Network for Single Image Super-Resolution
Deep Jpeg Image Deblocking Using residual Maxout Units
Deep Learning Seismic Random Noise Attenuation via Improved residual Convolutional Neural Network
Deep learning super-resolution electron microscopy based on deep residual attention network
Deep Neural Network for Coarse-to-Fine Image Dehazing with Interleaved residual Connections and Semi-Supervised Training, A
Deep Pyramidal residual Networks
Deep Pyramidal residual Networks for Spectral-Spatial Hyperspectral Image Classification
Deep residual 3d U-net for Joint Segmentation and Texture Classification of Nodules in Lung
Deep residual Attention Network for Hyperspectral Image Reconstruction
Deep residual Attention Network for Spectral Image Super-Resolution
Deep residual Autoencoder with Multiscaling for Semantic Segmentation of Land-Use Images
Deep residual coalesced convolutional network for efficient semantic road segmentation
Deep residual Correction Network for Partial Domain Adaptation
Deep residual deconvolutional networks for defocus blur detection
Deep residual Dual-Attention Network for Super-Resolution Reconstruction of Remote Sensing Images
Deep residual Flow for Out of Distribution Detection
Deep residual Involution Network for Hyperspectral Image Classification
Deep residual Learning for Image Recognition
Deep residual Learning in the JPEG Transform Domain
Deep residual Multi-scale Convolutional Network for Spatial Steganalysis, A
Deep residual Network for Enhancing Quality of the Decoded Intra Frames of HEVC
Deep residual Network with Enhanced Upscaling Module for Super-Resolution
Deep residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery
Deep residual network with regularised fisher framework for detection of melanoma
Deep residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition
Deep residual Networks with Common Linear Multi-Step and Advanced Numerical Schemes
Deep residual pooling network for texture recognition
Deep residual refining based pseudo-multi-frame network for effective single image super-resolution
Deep residual Split Directed Graph Convolutional Neural Networks for Action Recognition
Deep residual Squeeze and Excitation Network for Remote Sensing Image Super-Resolution
Deep residual Temporal Convolutional Networks for Skeleton-based Human Action Recognition
Deep residual Weight-Sharing Attention Network With Low-Rank Attention for Visual Question Answering
Deep Shearlet residual Learning Network for Single Image Super-Resolution
Deep Spectral Spatial Inverted residual Network for Hyperspectral Image Classification
Deep Spiking residual Shrinkage Network for Bearing Fault Diagnosis
Deep Wide-Activated residual Network Based Joint Blocking and Color Bleeding Artifacts Reduction for 4:2:0 JPEG-Compressed Images
Deep-mapnets: A residual network for 3D environment representation
Deep3DSCan: Deep residual network and morphological descriptor based framework for lung cancer classification and 3D segmentation
Deeper Depth Prediction with Fully Convolutional residual Networks
Deeply Supervised residual Network for HEp-2 Cell Classification
deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning, A
Deeply Supervised Z-Style residual Network Devotes to Real-Time Environment Perception for Autonomous Driving
DeepRoadNet: A deep residual based segmentation network for road map detection from remote aerial image
Deformable Model-Based Shape and Motion Analysis from Images using Motion residual Error
Denoising real bursts with squeeze-and-excitation residual network
Dense Bynet: residual Dense Network for Image Super Resolution
Dense Light Field Reconstruction from Sparse Sampling Using residual Network
Dense residual Pyramid Networks for Salient Object Detection
Densely connected network with improved pyramidal bottleneck residual units for super-resolution
Densely residual Laplacian Super-Resolution
Densely residual Network with Dual Attention for Hyperspectral Reconstruction from RGB Images
Depth Completion Using Laplacian Pyramid-based Depth residuals
Depth Completion using Plane-residual Representation
Depth Dropout: Efficient Training of residual Convolutional Neural Networks
Depth map upsampling by self-guided residual interpolation
Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera Using Deep residual Networks
Depth-Wise Separable Convolution Neural Network with residual Connection for Hyperspectral Image Classification
Depthwise-Separable residual Capsule for Robust Keyword Spotting
Despeckling of SAR Images Using residual Twin CNN and Multi-Resolution Attention Mechanism
Detail Preserving residual Feature Pyramid Modules for Optical Flow
Detecting Double H.264 Compression Based on Analyzing Prediction residual Distribution
Detecting Land Degradation in Eastern China Grasslands with Time Series Segmentation and residual Trend analysis (TSS-RESTREND) and GIMMS NDVI3g Data
Detecting Morphed Face Attacks Using residual Noise from Deep Multi-scale Context Aggregation Network
Detecting Plant Invasion in Urban Parks with Aerial Image Time Series and residual Neural Network
Detecting Vegetation Change in the Pearl River Delta Region Based on Time Series Segmentation and residual Trend Analysis (TSS-RESTREND) and MODIS NDVI
Detection and Diagnosis of Skin Diseases Using residual Neural Networks (RESNET)
Detection and Estimation of Along-Track Attitude Jitter From Ziyuan-3 Three-Line-Array Images Based on Back-Projection residuals
Detection of residual Hot Spots in RFI-Filtered SMAP Data
Deterministic Model Fitting by Local-Neighbor Preservation and Global-residual Optimization
Development Of New Fractal And Non-Fractal Deep residual Networks For Deblocking Of JPEG Decompressed Images
DHARMA: Discriminant Hyperplane Abstracting residuals Minimization Algorithm for Separating Clusters with Fuzzy Boundaries
Diagnosis of melanoma from dermoscopic images using a deep depthwise separable residual convolutional network
differential information residual convolutional neural network for pansharpening, A
Diffusion Mechanism in residual Neural Network: Theory and Applications
Dilated residual grooming kernel model for breast cancer detection
Dilated residual Learning With Skip Connections for Real-Time Denoising of Laser Speckle Imaging of Blood Flow in a Log-Transformed Domain
Dilated residual Networks
DIOR: Deep Iterative Optimization-Based residual-Learning for Limited-Angle CT Reconstruction
Direction-adaptive transforms for coding prediction residuals
Directional wavelet transforms for prediction residuals in video coding
DiResNet: Direction-Aware residual Network for Road Extraction in VHR Remote Sensing Images
Discovery Radiomics for Detection of Severely Atypical Melanocytic Lesions (SAML) from Skin Imaging via Deep residual Group Convolutional Radiomic Sequencer
Discrete Cosine Transform residual Feature Based Filtering Forgery and Splicing Detection in JPEG Images
Discriminative residual Analysis for Image Set Classification With Posture and Age Variations
Disentangled representation learning and residual GAN for age-invariant face verification
Distributed Fusion Framework of Multispectral and Panchromatic Images Based on residual Network, A
DN-ResNet: Efficient Deep residual Network for Image Denoising
Domain Progressive 3D residual Convolution Network to Improve Low-Dose CT Imaging
DRCDN: learning deep residual convolutional dehazing networks
DRCR Net: Dense residual Channel Re-calibration Network with Non-local Purification for Spectral Super Resolution
DRGAN: a deep residual generative adversarial network for PET image reconstruction
DRHDR: A Dual branch residual Network for Multi-Bracket High Dynamic Range Imaging
DRONE: Dual-Domain residual-based Optimization NEtwork for Sparse-View CT Reconstruction
Dual Compensation residual Networks for Class Imbalanced Learning
Dual independent pathway-densely connected residual network with dilated convolution-based arterial spin labeling MRI image reconstruction with minimum label-control pairs
Dual Reconstruction with Densely Connected residual Network for Single Image Super-Resolution
Dual residual Attention Network for Image Denoising
Dual residual Networks Leveraging the Potential of Paired Operations for Image Restoration
Dual-Attention Dilated residual Network for Liver Lesion Classification and Localization on CT Images, A
Dual-Channel residual Network for Hyperspectral Image Classification With Noisy Labels
Dual-Objective Optimization for Lane Reservation With residual Capacity and Budget Constraints
Dual-Stream Multi-Path Recursive residual Network for JPEG Image Compression Artifacts Reduction
Dynamic Range Analysis in High Efficiency Video Coding residual Coding and Reconstruction
Dynamic residual Classifier for Class Incremental Learning
Dynamic residual Filtering With Laplacian Pyramid for Instance Segmentation
Dynamic residual Self-Attention Network for Lightweight Single Image Super-Resolution, A
Dynamic spectral residual superpixels
Dynamic temporal residual network for sequence modeling
E2E-V2SResNet: Deep residual convolutional neural networks for end-to-end video driven speech synthesis
Edge Detection Through residual Analysis
Edge-aware Color Image Manipulation by Combination of Low-pass Linear Filter and Morphological Processing of Its residuals
EdgeStereo: A Context Integrated residual Pyramid Network for Stereo Matching
EDNet: Efficient Disparity Estimation with Cost Volume Combination and Attention-based Spatial residual
EEG-based Drowsiness and Alertness Recognition Using Feature Fusion and Deep residual Networks
Effective Utilization of Hybrid residual Modules in Deep Neural Networks for Super Resolution
Effects of Motion Compensation residual Error and Polarization Distortion on UAV-Borne PolInSAR
Efficient Estimation of Biomass from residual Agroforestry
Efficient Fixed-Point Implementation of residual Resampling Scheme for High-Speed Particle Filters, An
Efficient Group Feature Fusion residual Network for Image Super-resolution, An
Efficient HD video coding with joint first-order-residual (FOR) and second-order-residual (SOR) coding technique
Efficient HD video coding with joint first-order-residual (FOR) and second-order-residual (SOR) coding technique
Efficient representation and coding of prediction residuals and parameters in frame-based animated mesh compression
Efficient residual coding algorithm based on hadamard transform in lossless H.264/AVC
Efficient residual data coding in CABAC for HEVC lossless video compression
Efficient residual DPCM Using an L_1 Robust Linear Prediction in Screen Content Video Coding
Efficient Screen Space Ambient Occlusion Generation via residual network
Efficient Single Image Super-Resolution via Hybrid residual Feature Learning with Compact Back-Projection Network
Efficient wavelet coding of motion compensated prediction residuals
Embedded Block residual Network: A Recursive Restoration Model for Single-Image Super-Resolution
Embedded Control Gate Fusion and Attention residual Learning for RGB-Thermal Urban Scene Parsing
Enabling Deep residual Networks for Weakly Supervised Object Detection
Encoder-Decoder Network with residual and Attention Blocks for Full-Face 3D Gaze Estimation, An
Encoder-Decoder with a residual Network for Fusing Hyperspectral and Panchromatic Remote Sensing Images, An
End-to-End Multi-Scale residual Reconstruction Network for Image Compressive Sensing, An
End-to-end Optimized Video Compression with MV-residual Prediction
End-to-End Rain Removal Network Based on Progressive residual Detail Supplement
End-to-End Super-Resolution for Remote-Sensing Images Using an Improved Multi-Scale residual Network
End-to-end video subtitle recognition via a deep residual Neural Network
Enhanced Deep residual Networks for Single Image Super-Resolution
Enhanced Double-Filter Deep residual Neural Network for Generating Super Resolution DEMs, An
Enhanced residual Feature Fusion Network Integrated with a Terrain Weight Module for Digital Elevation Model Super-Resolution, An
Enhanced residual Orientation for Improving Fingerprint Quality
Enhanced Two-Phase residual Network for Single Image Super-Resolution
Enhanced visible-infrared person re-identification based on cross-attention multiscale residual vision transformer
Enhanced wide-activated residual network for efficient and accurate image deblocking
Enhancing proximity measure between residual and noise for image denoising
Enhancing the Image Quality via Transferred Deep residual Learning of Coarse PET Sinograms
Ensemble Steganalysis Based on Deep residual Network
Entropy-constrained predictive residual vector quantization of digital images
ERANNs: Efficient residual audio neural networks for audio pattern recognition
ERFNet: Efficient residual Factorized ConvNet for Real-Time Semantic Segmentation
Estimating Depth From Monocular Images as Classification Using Deep Fully Convolutional residual Networks
Estimation and analysis of along-track attitude jitter of ZiYuan-3 satellite based on relative residuals of tri-band multispectral imagery
Estimation of Forest residual Biomass for Bioelectricity Utilization towards Carbon Neutrality Based on Sentinel-2A Multi-Temporal Images: A Case Study of Aizu Region of Fukushima, Japan
Estimation of residual Motion Errors in Airborne SAR Interferometry Based on Time-Domain Backprojection and Multisquint Techniques
Estimation of Snow Depth from AMSR2 and MODIS Data based on Deep residual Learning Network
Evaluation of residual-Based Local Features for Camera Model Identification
Evolutionary Algorithm Based residual Block Search for Compression Artifact Removal
Expectation-Maximization Attention Cross residual Network for Single Image Super-resolution
Exploiting deep residual networks for human action recognition from skeletal data
Exploiting the residual redundancy in motion estimation vectors to improve the quality of compressed video transmitted over noisy channels
Exploration of Generalized residual Prediction in scalable HEVC
Exposing Deepfake Face Forgeries With Guided residuals
Extension of the Linear Chromodynamics Model for Spectral Change Detection in the Presence of residual Spatial Misregistration
Extraction of Floating Raft Aquaculture Areas from Sentinel-1 SAR Images by a Dense residual U-Net Model with Pre-Trained Resnet34 as the Encoder
F-Net: Deep residual Learning for InSAR Parameters Estimation
Face Alignment by Combining residual Features in Cascaded Hourglass Network
Facial Affect Estimation in the Wild Using Deep residual and Convolutional Networks
Facial Expression Animation by Landmark Guided residual Module
Facial expression recognition based on improved residual network
Facial Expression Recognition Using residual Masking Network
Fall Detection Algorithm Based on Thresholds and residual Events
Fast Algorithm for Multidimensional Ellipsoid-Specific Fitting by Minimizing a New Defined Vector Norm of residuals Using Semidefinite Programming, A
Fast and Efficient Super-Resolution Network Using Hierarchical Dense residual Learning, A
Fast and Lightweight Image Super-Resolution Based on Dense residuals Two-Channel Network
Fast and robust face recognition via coding residual map learning based adaptive masking
Fast BCS-FOCUSS and DBCS-FOCUSS with augmented Lagrangian and minimum residual methods
Fast computation of residual complexity image similarity metric using low-complexity transforms
Fast intermode decision algorithm based on general and local residual complexity in H.264/AVC
Fast Intra-Coding for H.264/AVC by Using Projection-Based Predicted Block residuals
Fast k-Nearest Neighbor Search for Face Identification Using Bounds of residual Score
Fast mode decision algorithm for residual Quadtree coding in HEVC
Fast PNN Design Algorithm for Entropy Constrained residual Vector Quantization, A
Fast Skin Lesion Segmentation via Fully Convolutional Network with residual Architecture and CRF
Fast Spatio-Temporal residual Network for Video Super-Resolution
fast two-stage OMP algorithm for coding stereo image residuals, A
Fast, Accurate, and Lightweight Super-Resolution with Cascading residual Network
FC-RCCN: Fully convolutional residual continuous CRF network for semantic segmentation
Feature back-projection guided residual refinement for real-time stereo matching network
Feature Importance Analysis for Local Climate Zone Classification Using a residual Convolutional Neural Network with Multi-Source Datasets
Feedback Multi-scale residual Dense Network for image super-resolution
FERA-Net: A Building Change Detection Method for High-Resolution Remote Sensing Imagery Based on residual Attention and High-Frequency Features
Fine-Grained Butterfly Recognition with Deep residual Networks: A New Baseline and Benchmark
Finger-NestNet: Interpretable Fingerphoto Verification on Smartphone using Deep Nested residual Network
Finite-State residual Vector Quantization Using a Tree-Structured Competitive Neural Network
Flexible Recurrent residual Pyramid Network for Video Frame Interpolation, A
FloodNet: Underwater image restoration based on residual dense learning
Flower Image Classification Based on Multi-scale Dense residual Network
Foreground-Background Parallel Compression With residual Encoding for Surveillance Video
FormResNet: Formatted residual Learning for Image Restoration
Four-Direction residual Interpolation for Demosaicking
FPGA-Based residual Recurrent Neural Network for Real-Time Video Super-Resolution, An
Frequency-Relevant residual Learning for Multi-Modal Image Denoising
From Rank Estimation to Rank Approximation: Rank residual Constraint for Image Restoration
Full-Resolution residual Networks for Semantic Segmentation in Street Scenes
Fully Decoupled residual ConvNet for Real-Time Railway Scene Parsing of UAV Aerial Images
Fully residual Convolutional Neural Network for Background Subtraction, A
Fusing dense and ReZero residual networks for super-resolution of retinal images
GAMSNet: Globally aware road detection network with multi-scale residual learning
Gas Plume Target Detection in Multibeam Water Column Image Using Deep residual Aggregation Structure and Attention Mechanism
Gated Content-Oriented residual Dense Network for Hyperspectral Image Super-Resolution, A
Gated-residual Block for Semantic Segmentation Using RGB-D Data
Generalised residual images' effect on illumination artifact removal for correspondence algorithms
Generalized inter-layer residual prediction for scalable extension of HEVC
Generalized residual Vector Quantization and Aggregating Tree for Large Scale Search
Generative Adversarial Networks with Enhanced Symmetric residual Units for Single Image Super-Resolution
Generative image deblurring based on multi-scaled residual adversary network driven by composed prior-posterior loss
Gesture and Sign Language Recognition with Temporal residual Networks
Gleason Grading of Histology Prostate Images Through Semantic Segmentation via residual U-Net
Global Assessment of the GNSS Single Point Positioning Biases Produced by the residual Tropospheric Delay
Global White-Sky and Black-Sky FAPAR Retrieval Using the Energy Balance residual Method: Algorithm and Validation
GMM Post-Filter for residual Crosstalk Suppression in Blind Source Separation, A
GMSRF-Net: An Improved generalizability with Global Multi-Scale residual Fusion Network for Polyp Segmentation
GR-RNN: Global-context residual recurrent neural networks for writer identification
Gradient-Based residual Variance Modeling and Its Applications to Motion-Compensated Video Coding
Graph-Regularized Locality-Constrained Joint Dictionary and residual Learning for Face Sketch Synthesis
GraSens: A Gabor residual Anti-Aliasing Sensing Framework for Action Recognition using WiFi
Grnet: Gridding residual Network for Dense Point Cloud Completion
Group Re-Identification with Hybrid Attention Model and residual Distance
Group Sparsity residual Constraint With Non-Local Priors for Image Restoration
GTP-PNet: A residual learning network based on gradient transformation prior for pansharpening
Guided Sampling for Multistructure Data via Neighborhood Consensus and residual Sorting
Hamate classification method based on feature-enhanced residual network and probabilistic joint judgment
Hand Pose Estimation Based on 3D residual Network with Data Padding and Skeleton Steadying
HandR2N2: Iterative 3D Hand Pose Estimation Using a residual Recurrent Neural Network
Handwritten Chinese character recognition with spatial transformer and deep residual networks
Hashing Neural Video Decomposition with Multiplicative residuals in Space-Time
Haze Removal of Railway Monitoring Images Using Multi-Scale residual Network
HDRANet: Hybrid Dilated residual Attention Network for SAR Image Despeckling
HEp-2 cell classification with Vector of Hierarchically Aggregated residuals
HEVC early termination methods for optimal CU decision utilizing encoding residual information
Hierarchical Features Driven residual Learning for Depth Map Super-Resolution
Hierarchical Nonlocal residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations
Hierarchical residual learning for image denoising
Hierarchically Aggregated residual Transformation for Single Image Super Resolution
High-Dimensional Dense residual Convolutional Neural Network for Light Field Reconstruction
High-Performance Spectral-Spatial residual Network for Hyperspectral Image Classification with Small Training Data, A
HMARNET: A Hierarchical Multi-Attention residual Network for Gleason scoring of prostate cancer
Human Pose Estimation by a Series of residual Auto-Encoders
Human Pose Regression with residual Log-likelihood Estimation
Hybrid 2-D-3-D Deep residual Attentional Network With Structure Tensor Constraints for Spectral Super-Resolution of RGB Images
Hybrid Attention Based residual Network for Pansharpening
Hybrid Image Codec with Learned residual Coding, A
Hyperspectral Image Classification Based on Multi-Scale residual Network with Attention Mechanism
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep residual Convolutional Neural Network
Hyperspectral Image Mixed Noise Removal Using a Subspace Projection Attention and residual Channel Attention Network
Hyperspectral Image Restoration via Spatial-Spectral residual Total Variation Regularized Low-Rank Tensor Decomposition
Hyperspectral Image Super-Resolution via Deep Progressive Zero-Centric residual Learning
Hyperspectral Image Super-Resolution with Self-Supervised Spectral-Spatial residual Network
Hyperspectral Pansharpening Using Deep Prior and Dual Attention residual Network
Hyperspectral Reconnaissance: Joint Characterization of the Spectral Mixture residual Delineates Geologic Unit Boundaries in the White Mountains, CA
Hyperspectral Snapshot Compressive Imaging with Non-Local Spatial-Spectral residual Network
Identification of Motion-Compensated Frame Rate Up-Conversion Based on residual Signals
Identification of Various Image Operations Using residual-Based Features
Identifying Surface Changes on HRSC Images of the Mars South Polar residual Cap (SPRC)
Identity Enhanced residual Image Denoising
Identity Mappings in Deep residual Networks
IIRNet: A lightweight deep neural network using intensely inverted residuals for image recognition
Image captioning: Semantic selection unit with stacked residual attention
Image coding using entropy-constrained reflected residual vector quantization
Image coding using entropy-constrained residual vector quantization
Image coding using high-order conditional entropy-constrained residual VQ
Image DAEs based on residual entropy maximum
Image dehazing with uneven illumination prior by dense residual channel attention network
Image demosaicing by using iterative residual interpolation
Image Denoiser Using Convolutional Neural Network with Deconvolution and Modified residual Network
Image denoising using group sparsity residual and external nonlocal self-similarity prior
Image deraining with Adversarial residual Refinement Network
Image filter identification using demosaicing residual features
Image forgery detection through residual-based local descriptors and block-matching
Image fusion via feature residual and statistical matching
Image reconstruction for diffuse optical tomography using bi-conjugate gradient and transpose-free quasi minimal residual algorithms and comparison of them
Image registration by minimization of residual complexity
Image Registration Method Using Deep residual Network Features for Multisource High-Resolution Remote Sensing Images, An
Image restoration with group sparse representation and low-rank group residual learning
Image Segmentation Using Iterated Graph Cuts with residual Graph
Image splicing localization using residual image and residual-based fully convolutional network
Image splicing localization using residual image and residual-based fully convolutional network
Image Super-Resolution Using Very Deep residual Channel Attention Networks
Image Super-Resolution via Deep Recursive residual Network
Image Super-Resolution via Progressive Cascading residual Network
Image Super-Resolution via residual Block Attention Networks
Image Superresolution Using Densely Connected residual Networks
Improved compression of motion-compensated residuals
Improved disparity vector derivation for inter-view residual prediction in 3D-HEVC
Improved Entropy Coder in H.264/AVC for Lossless residual Coding in the Spatial Domain
Improved H.264/AVC Lossless Intra Coding With Two-Layered residual Coding (TRC)
improved image segmentation model of FCN based on residual network, An
improved multi-branch residual network based on random multiplier and adaptive cosine learning rate method, An
Improved residual Networks for Image and Video Recognition
Improvement on learning-based super-resolution by adopting residual information and patch reliability
Improving Audio Steganalysis Using Deep residual Networks
Improving Disparity Estimation Based on residual Cost Volume And Reconstruction Error Volume
Improving Generalization in Facial Manipulation Detection Using Image Noise residuals and Temporal Features
Improving Super Resolution Methods Via Incremental residual Learning
Improving video quality by predicting inter-frame residuals based on an additive 3D-CNN model
Independent 3D Motion Detection Using residual Parallax Normal Flow Fields
Influence of residual Amplitude and Phase Error for GF-3 Quad-Polarization SAR on Wind Vector Retrieval
influence of residual errors on a digital satellite TV decoder, The
Influence of the Low-Frequency Error of the residual Orbit on Recovering Time-Variable Gravity Field from the Satellite-To-Satellite Tracking Mission
Information Fusion for Spaceborne GNSS-R Sea Surface Height Retrieval Using Modified residual Multimodal Deep Learning Method
Inlier clustering based on the residuals of random hypotheses
Integrating Normal Vector Features into an Atrous Convolution residual Network for LiDAR Point Cloud Classification
Integration of residual Terrain Modelling and the Equivalent Source Layer Method in Gravity Field Synthesis for Airborne Gravity Gradiometer Test Site Determination
Intelligent detection and applied research on diabetic retinopathy based on the residual attention network
Intensity-Based Image Registration by Minimizing residual Complexity
Inter-Slice Context residual Learning for 3D Medical Image Segmentation
Interactive Multi-dimension Modulation with Dynamic Controllable residual Learning for Image Restoration
Interference Mitigation for Synthetic Aperture Radar Based on Deep residual Network
Interferogram Re-Flattening Method for InSAR Based on Local residual Fringe Removal and Adaptively Adjusted Windows, An
Intra-Inter Prediction for Versatile Video Coding Using a residual Convolutional Neural Network
Investigating the Automatic Classification of Algae Using the Spectral and Morphological Characteristics via Deep residual Learning
Investigation on LP-residual representations for speaker identification
IR Spectral Mapping Of The Martian South Polar residual Cap Using Crism
Iterative Joint Image Demosaicking and Denoising Using a residual Denoising Network
Iterative Multi-Scale residual Network for Deblurring
Iterative residual CNNs for Burst Photography Applications
Iterative residual Feature Refinement Network for Bit-Depth Enhancement
Iterative residual Network for Structured Edge Detection
Iterative residual Optimization Network for Limited-Angle Tomographic Reconstruction
Iterative residual Refinement for Joint Optical Flow and Occlusion Estimation
Iterative Smoothed residuals: A Low-Pass Filter for Smoothing with Controlled Shrinkage
IterDepth: Iterative residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation
Joint motion and residual information latent representation for P-frame coding
Joint residual Learning for Underwater Image Enhancement
Joint residual pyramid for joint image super-resolution
Joint Transformation and residual Image Descriptor for Morphometric Image Analysis using an Equivalence Class Formulation, A
Jointly optimized trellis-coded residual vector quantization
Jointly Trained Image and Video Generation using residual Vectors
kernel-based statistical analysis of the residual error in video coding, A
L-Shape-Based Iterative Prediction and residual Median Edge Detection (LIP-RMED) Algorithm for VVC Intra-Frame Lossless Compression
Label Distribution-Based Facial Attractiveness Computation by Deep residual Learning
Label Relation Graphs Enhanced Hierarchical residual Network for Hierarchical Multi-Granularity Classification
Land Degradation Assessment Using residual Trend Analysis of GIMMS NDVI3g, Soil Moisture and Rainfall in Sub-Saharan West Africa from 1982 to 2012
LARNeXt: End-to-End Lie Algebra residual Network for Face Recognition
LDS-Inspired residual Networks
Learned Image Compression With Gaussian-Laplacian-Logistic Mixture Model and Concatenated residual Modules
Learned Image Compression with Super-Resolution residual Modules and DISTS Optimization
Learned Multi-Resolution Variable-Rate Image Compression With Octave-Based residual Blocks
Learned Video Compression with Feature-level residuals
Learned Video Compression With residual Prediction And Feature-Aided Loop Filter
Learning A Cascaded Non-Local residual Network for Super-resolving Blurry Images
Learning a Deep Attention Dilated residual Convolutional Neural Network for Landslide Susceptibility Mapping in Hanzhong City, Shaanxi Province, China
Learning a Dilated residual Network for SAR Image Despeckling
Learning a multi-level guided residual network for single image deraining
Learning a Recurrent residual Fusion Network for Multimodal Matching
Learning Attentions: residual Attentional Siamese Network for High Performance Online Visual Tracking
Learning Expressive Prompting With residuals for Vision Transformers
Learning Gated Non-Local residual for Single-Image Rain Streak Removal
Learning Latent Temporal Connectionism of Deep residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures
Learning Lightweight Multi-Scale Feedback residual Network for Single Image Super-Resolution
Learning principal orientations and residual descriptor for action recognition
Learning residual Color for Novel View Synthesis
Learning residual Images for Face Attribute Manipulation
Learning residual refinement network with semantic context representation for real-time saliency object detection
Learning Scalable l8-constrained Near-lossless Image Compression via Joint Lossy Image and residual Compression
Learning Spatio-Temporal Features with 3D residual Networks for Action Recognition
Learning Spatio-Temporal Representation with Pseudo-3D residual Networks
Learning Strict Identity Mappings in Deep residual Networks
Learning to Forecast and Refine residual Motion for Image-to-Video Generation
Lighter and Faster Cross-Concatenated Multi-Scale residual Block Based Network for Visual Saliency Prediction
lightweight and stochastic depth residual attention network for remote sensing scene classification, A
Lightweight Multiattention Recursive residual CNN-Based In-Loop Filter Driven by Neuron Diversity
Lightweight Spectral-Spatial Squeeze-and-Excitation residual Bag-of-Features Learning for Hyperspectral Classification
Limited View Tomographic Reconstruction Using a Cascaded residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer
Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder-decoder network
Liver Vessels Segmentation Based on 3d residual U-NET
Local climate zone-based urban land cover classification from multi-seasonal Sentinel-2 images with a recurrent residual network
Local fusion networks with chained residual pooling for video action recognition
Localization of Map Changes by Exploiting SLAM residuals
Long-Term Video Generation with Evolving residual Video Frames
Loopy residual Hashing: Filling the Quantization Gap for Image Retrieval
Low complexity algorithm for inter-layer residual prediction of H.264/SVC
Low Contrast Infrared Target Detection Method Based on residual Thermal Backbone Network and Weighting Loss Function
Low Latency Secondary Transforms for Intra/Inter Prediction residual
Low-complexity inter-layer residual prediction for scalable video coding
Low-Dose CT With a residual Encoder-Decoder Convolutional Neural Network
Low-light image enhancement by diffusion pyramid with residuals
LRA&LDRA: Rethinking residual Predictions for Efficient Shadow Detection and Removal
Lumen Segmentation Method in Ureteroscopy Images based on a Deep residual U-Net architecture, A
Macroblock-Adaptive residual Color Space Transforms for 4:4:4 Video Coding
Making residual Vector Distribution Uniform for Distinctive Image Representation
Mathematical Analysis and Implementation of residual Interpolation Demosaicking Algorithms, A
Matting-Based residual Optimization for Structurally Consistent Image Color Correction
Max residual classifier
MDR-Net: Multiscale dense residual networks for liver image segmentation
Memory-Efficient Multi-Scale residual Dense Network for Single Image Rain Removal
MGRLN-net: Mask-guided residual Learning Network for Joint Single-image Shadow Detection and Removal
Microwave Radiometer Data Superresolution Using Image Degradation and residual Network
Minimizing the residual Topography Effect on Interferograms to Improve DInSAR Results: Estimating Land Subsidence in Port-Said City, Egypt
Missing Modalities Imputation via Cascaded residual Autoencoder
Mitigating Image residuals Systematic Patterns In Underwater Photogrammetry
Mixed Real-Life and Anime Harmful Images Classification Using Deep residual Neural Networks and Migration Learning
Mixer-based Local residual Network for Lightweight Image Super-resolution
MixNet: A Better Promising Approach for Chromosome Classification based on Aggregated residual Architecture
MobileNetV2: Inverted residuals and Linear Bottlenecks
Mode-Dependent Transforms for Coding Directional Intra Prediction residuals
Modeling and Low-Complexity Adaptive Coding for Image Prediction residuals
Modeling of residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach
Modelling the road network capacity considering residual queues and connected automated vehicles
Modified residual Method for the Estimation of Noise in Hyperspectral Images
Modified-CS-residual for recursive reconstruction of highly undersampled functional MRI sequences
Monitoring residual Soil Moisture and Its Association to the Long-Term Variability of Rainfall over the Upper Blue Nile Basin in Ethiopia
Monochrome And Color Polarization Demosaicking Using Edge-Aware residual Interpolation
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth residuals
Monocular Rear-View Obstacle Detection Using residual Flow
Monte Carlo Full-Waveform Inversion of Cross-Hole Ground-Penetrating Radar Data Based on Improved residual Network
MoRE: Multi-output residual embedding for multi-label classification
Morphological Processing of Gaussian residuals for Edge-Preserving Smoothing
Morphological residual Representations of Signals
Motion Representation Using residual Frames with 3D CNN
Motion Vector Processing Based on residual Energy Information for Motion Compensated Frame Interpolation
MPCT: Multiscale Point Cloud Transformer With a residual Network
MPRNet: Multi-Path residual Network for Lightweight Image Super Resolution
MR-UNet: An UNet model using multi-scale and residual convolutions for retinal vessel segmentation
MRA-SNet: Siamese Networks of Multiscale residual and Attention for Change Detection in High-Resolution Remote Sensing Images
MRANet: Multi-atrous residual attention Network for stereo image super-resolution
MSDRN: Pansharpening of Multispectral Images via Multi-Scale Deep residual Network
MSR-FAN: Multi-scale residual feature-aware network for crowd counting
MSR-GCN: Multi-Scale residual Graph Convolution Networks for Human Motion Prediction
MSResNet: Multiscale residual Network via Self-Supervised Learning for Water-Body Detection in Remote Sensing Imagery
MT-GN: Multi-Task-Learning-Based Graph residual Network for Tropical Cyclone Intensity Estimation
MTRBNet: Multi-Branch Topology residual Block-Based Network for Low-Light Enhancement
Multi-attribute residual Network (MAResNet) for Soft-Biometrics Recognition in Surveillance Scenarios
Multi-branch residual image semantic segmentation combined with inverse weight gated-control
multi-channel geometric algebra residual network for traffic data prediction, A
Multi-Delay Sparse Approach to residual Crosstalk Reduction for Blind Source Separation
Multi-domain residual encoder-decoder networks for generalized compression artifact reduction
Multi-Field De-Interlacing Using Deformable Convolution residual Blocks and Self-Attention
Multi-Frame Super Resolution with Deep residual Learning on Flow Registered Non-Integer Pixel Images
Multi-Fusion residual Memory Network for Multimodal Human Sentiment Comprehension
Multi-Image Super Resolution of Remotely Sensed Images Using residual Attention Deep Neural Networks
Multi-label chest X-ray image classification via category-wise residual attention learning
Multi-Label Speech Emotion Recognition via Inter-Class Difference Loss Under Response residual Network
multi-layer image representation using regularized residual quantization: Application to compression and denoising, A
Multi-level Dispersion residual Network for Efficient Image Super-Resolution
Multi-Level residual Up-Projection Activation Network for Image Super-Resolution
Multi-modal defect detection of residual oxide scale on a cold stainless steel strip
multi-object tracker using dynamic Bayesian networks and a residual neural network based similarity estimator, A
Multi-scale Attentive residual Dense Network for Single Image Rain Removal
Multi-scale Cross-path Concatenation residual Network for Poisson denoising
Multi-Scale Deep residual Learning-Based Single Image Haze Removal via Image Decomposition
Multi-Scale Feature residual Feedback Network for Super-Resolution Reconstruction of the Vertical Structure of the Radar Echo
Multi-Scale Frequency Reconstruction for Guided Depth Map Super-Resolution via Deep residual Network
Multi-scale GAN with residual image learning for removing heterogeneous blur
Multi-Scale residual Convolutional Neural Network for Haze Removal of Remote Sensing Images
Multi-Scale residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation
Multi-scale residual Interaction for RGB-D Salient Object Detection
Multi-scale residual Low-Pass Filter Network for Image Deblurring
Multi-scale residual Network for Image Super-Resolution
Multi-Scale residual Pyramid Attention Network for Monocular Depth Estimation
Multi-Scale Selective residual Learning for Non-Homogeneous Dehazing
Multi-Scale Self-Calibrated Dual-Attention Lightweight residual Dense Deraining Network Based on Monogenic Wavelets
Multi-scale Visual Aggregation residual Network for Super-Resolution
Multi-task Contextual Atrous residual Network for Brain Tumor Detection Segmentation, A
Multicontext 3D residual CNN for false positive reduction of pulmonary nodule detection
multihypothesis-based residual reconstruction scheme in compressed video sensing, A
Multimodal First Impression Analysis with Deep residual Networks
Multipath residual Network for Spectral-Spatial Hyperspectral Image Classification
Multiple Connected residual Network for Image Enhancement on Smartphones
Multiple Description Video Codec With Adaptive residual Distributed Coding, A
Multiple instance learning for classifying histopathological images of the breast cancer using residual neural network
Multiple Stage residual Model for Accurate Image Classification
Multiple Stage residual Model for Image Classification and Vector Compression
MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose residual Network
Multiscale residual Attention Network for Multitask Learning of Human Activity Using Radar Micro-Doppler Signatures, A
Multiscale residual fusion network for image denoising
Multiscale residual gradient attention for face anti-spoofing
Multiscale residual Network With Mixed Depthwise Convolution for Hyperspectral Image Classification
Multiscale residual Solver for Total Variation Models, A
Multispectral demosaicking with novel guide image generation and residual interpolation
Mutual Learning of Complementary Networks via residual Correction for Improving Semi-Supervised Classification
Near-duplicate video detection exploiting noise residual traces
Neighborhood Rough residual Network-Based Outlier Detection Method in IoT-Enabled Maritime Transportation Systems
Neural Network Pruning With residual-Connections and Limited-Data
Neural network-based image restoration using scaled residual with space-variant regularization
Neural residual Flow Fields for Efficient Video Representations
Neural residual Radiance Fields for Streamably Free-Viewpoint Videos
New Approach for Improving GNSS Geodetic Position by Reducing residual Tropospheric Error (RTE) Based on Surface Meteorological Data, A
New Pansharpening Method Using Objectness Based Saliency Analysis and Saliency Guided Deep residual Network, A
NL-CALIC Soft Decoding Using Strict Constrained Wide-Activated Recurrent residual Network
Non-Local Hierarchical residual Network for Single Image Super-Resolution
Non-residual unrestricted pruned ultra-faster line detection for edge devices
Non-Rigid Multi-Modal Image Registration Using Cross-Cumulative residual Entropy
Nonlocal Low-Rank residual Modeling for Image Compressive Sensing Reconstruction
Norm-Preservation: Why residual Networks Can Become Extremely Deep?
Normalized residual-based constant false-alarm rate outlier detection
Novel Coarse-to-Fine Method of Ship Detection in Optical Remote Sensing Images Based on a Deep residual Dense Network, A
Novel Encryption-Then-Lossy-Compression Scheme of Color Images Using Customized residual Dense Spatial Network, A
Novel Ensemble Architecture of residual Attention-Based Deep Metric Learning for Remote Sensing Image Retrieval, A
Novel Frontal Facial Synthesis Algorithm Based on Individual residual Face, A
Novel Just-Noticeable-Difference-Based Saliency-Channel Attention residual Network for Full-Reference Image Quality Predictions, A
Novel Method to Discriminate Active from residual Whitecaps Using Particle Image Velocimetry, A
Novel Radar Signals Sorting Method via residual Graph Convolutional Network, A
Novel residual prediction scheme for hybrid video coding
Novel shrinking residual convolutional neural network for efficient accurate stereo matching
NU-Net: Deep residual Wide Field of View Convolutional Neural Network for Semantic Segmentation
Object Oriented Coder Using Block Based Motion Vectors and residual Image Compensation, An
Object Tracking Through residual and Dense LSTMS
Ocean Surface Wind Retrieval From Dual-Polarized SAR Data Using the Polarization residual Doppler Frequency
OCR-Based Rate-Distortion Analysis of residual Coding
Oil Tank Detection Using Co-Spatial residual and Local Gradation Statistic in SAR Images
On reducing the inter frame rate: An embedded residual image model for mesh-based motion tracking
On residual Vector Quantization for texture mapping
On secondary transforms for prediction residual
On the Accuracy of Topographic residuals Retrieved by MTInSAR
On the residual term in the linear mixture model and its dependence on the point spread function
Online residual Quantization Via Streaming Data Correlation Preserving
Optimal residual frame based source modeling for HMM-based speech synthesis
Optimized video compression with residual split attention and swin-block artifact contraction
Outdoor RGBD Instance Segmentation With residual Regretting Learning
Palette reordering under an exponential power distribution model of prediction residuals
Parallel residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection
Parallel-connected residual Channel Attention Network for Remote Sensing Image Super-resolution
Parameter Estimation for Blind and Non-Blind Deblurring Using residual Whiteness Measures
PCDRN: Progressive Cascade Deep residual Network for Pansharpening
Pedestrian Tracking by Associating Tracklets using Detection residuals
Perceptual shape VQ of spectral envelope for efficient representation of LPC residual
Performance Evaluation of Adaptive residual Interpolation, a Tool for Inter-layer Prediction in H.264/AVC Scalable Video Coding
Performance Guaranteed Network Acceleration via High-Order residual Quantization
Persistent Memory residual Network for Single Image Super Resolution
Personalised Aesthetics with residual Adapters
PhotoWCT2: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency residuals
Pixel-Wise Attention residual Network for Super-Resolution of Optical Remote Sensing Images
PlanetScope Radiometric Normalization and Sentinel-2 Super-Resolution (2.5 m): A Straightforward Spectral-Spatial Fusion of Multi-Satellite Multi-Sensor Images Using residual Convolutional Neural Networks
Plasmaspheric Electron Content Inferred from residuals between GNSS-Derived and TOPEX/JASON Vertical TEC Data
Point-To-Pose Voting Based Hand Pose Estimation Using residual Permutation Equivariant Layer
Polarimetric SAR Calibration and residual Error Estimation When Corner Reflectors Are Unavailable
Pose Estimation of Point Sets Using residual MLP in Intelligent Transportation Infrastructure
Pose-Robust Face Recognition via Deep residual Equivariant Mapping
posterior evaluation algorithm of steganalysis accuracy inspired by residual co-occurrence probability, A
POVNet: Image-Based Virtual Try-On Through Accurate Warping and residual
PR-RRN: Pairwise-Regularized residual-Recursive Networks for Non-rigid Structure-from-Motion
Predicting citywide crowd flows using deep spatio-temporal residual networks
Predicting on-street parking violation rate using deep residual neural networks
Predicting Taxi-Calling Demands Using Multi-Feature and residual Attention Graph Convolutional Long Short-Term Memory Networks
Predictive residual vector quantization
Predictive-transform residual vector quantization
Prior based Pyramid residual Clique Network for human body image super-resolution
Prior-Attention residual Learning for More Discriminative COVID-19 Screening in CT Images
Progressive dilation dense residual fusion network for single-image deraining
Progressive Dual-Attention residual Network for Salient Object Detection
Projected residual Vector Quantization for ANN Search
Promoting Monocular Depth Estimation by Multi-Scale residual Laplacian Pyramid Fusion
Prototypical residual Networks for Anomaly Detection and Localization
Proximal residual Flows for Bayesian Inverse Problems
Pseudo-Siamese residual atrous pyramid network for multi-focus image fusion
Pushing the boundaries of audiovisual word recognition using residual Networks and LSTMs
pyramid non-local enhanced residual dense network for single image de-raining, A
Pyramid-Structured Depth MAP Super-Resolution Based on Deep Dense-residual Network
Quality Assessment of Remote-Sensing Image Registration: Analysis and Testing of Control Point residuals
Quality Enhancement Network via Multi-Reconstruction Recursive residual Learning for Video Coding
Quality Estimation for H.264/SVC Inter-layer residual Prediction in Spatial Scalability
Quantization-Based Approximate Nearest Neighbor Search with Optimized Multiple residual Codebooks
R-IMNet: Spatial-Temporal Evolution Analysis of Resource-Exhausted Urban Land Based on residual-Intelligent Module Network
R-MFNet: Analysis of Urban Carbon Stock Change against the Background of Land-Use Change Based on a residual Multi-Module Fusion Network
R2Net: residual refinement network for salient object detection
R3L: Connecting Deep Reinforcement Learning To Recurrent Neural Networks for Image Denoising Via residual Recovery
RAANet: A residual ASPP with Attention Framework for Semantic Segmentation of High-Resolution Remote Sensing Images
Radio Galaxy Morphology Generation using residual Convolutional Autoencoder and Gaussian Mixture Models
Rain removal via residual generation cascading
Range image segmentation and fitting by residual consensus
Range-doppler Hand Gesture Recognition Using Deep residual-3dcnn with Transformer Network
RAO-UNet: a residual attention and octave UNet for road crack detection via balance loss
RAPNet: residual Atrous Pyramid Network for Importance-Aware Street Scene Parsing
RAR-U-NET: A residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation Under Noisy Labels
RAR-U-NET: A residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation Under Noisy Labels
Rate-Constrained Modular Predictive residual Vector Quantization
Rate-Constrained Modular Predictive residual Vector Quantization of Digital Images
RBP-Pose: residual Bounding Box Projection for Category-Level Pose Estimation
RCUMP: residual Completion Unrolling With Mixed Priors for Snapshot Compressive Imaging
RD-IWAN: residual Dense Based Imperceptible Watermark Attack Network
RDEN: residual Distillation Enhanced Network-Guided Lightweight Synthesized View Quality Enhancement for 3D-HEVC
RDFNet: RGB-D Multi-level residual Feature Fusion for Indoor Semantic Segmentation
RDRN: Recursively Defined residual Network for Image Super-resolution
Real Image Denoising Based on Multi-Scale residual Dense Block and Cascaded U-Net with Block-Connection
Real Image Denoising via Guided residual Estimation and Noise Correction
Real-time classification on oral ulcer images with residual network and image enhancement
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal residual Neural Networks
RECON: Scale-adaptive robust estimation via residual Consensus
reconstructed residual error: A novel segmentation evaluation measure for reconstructed images in tomography, The
Recover the residual of Residual: Recurrent Residual Refinement Network for Image Super-Resolution
Recover the residual of Residual: Recurrent Residual Refinement Network for Image Super-Resolution
Recover the residual of Residual: Recurrent Residual Refinement Network for Image Super-Resolution
RecResNet: A Recurrent residual CNN Architecture for Disparity Map Enhancement
Recurrent residual Deformable Conv Unit and Multi-Head with Channel Self-Attention Based on U-Net for Building Extraction from Remote Sensing Images
Recurrent residual Learning for Action Recognition
Recurrent residual Module for Fast Inference in Videos
Recurrent wavelet structure-preserving residual network for single image deraining
Recursive Deep residual Learning for Single Image Dehazing
Recursive residual atrous spatial pyramid pooling network for single image deraining
Recursive residual Convolutional Neural Network- Based In-Loop Filtering for Intra Frames
Reduced Resolution Update Video Coding with Interblock Filtering of Prediction Error residuals
Reduced-Complexity Rate-Distortion Optimization of Multiresolution Motion Field and Prediction residual
Reducing parameter number in residual networks by sharing weights
Reducing the residual Topography Phase for the Robust Landscape Deformation Monitoring of Architectural Heritage Sites in Mountain Areas: The Pseudo-Combination SBAS Method
Reduction of musical residual noise using perceptual tools with classic speech denoising techniques
RefineU-Net: Improved U-Net with progressive global feedbacks and residual attention guided local refinement for medical image segmentation
Regisration of hyperspectral and trichromatic images via cross cumulative residual entropy maximisation
Regression with residual neural network for vanishing point detection
Regularity of spectral residual for reduced reference image quality assessment
Remote Sensing and Multi-Criteria Evaluation for Malaria Risk Mapping to Support Indoor residual Spraying Prioritization in the Central Highlands of Madagascar
Remote Sensing Based Binary Classification of Maize. Dealing with residual Autocorrelation in Sparse Sample Situations
Remote Sensing Image Defogging Networks Based on Dual Self-Attention Boost residual Octave Convolution
Remote Sensing Image Super-Resolution via residual-Dense Hybrid Attention Network
Remote Sensing Image Superresolution Using Deep residual Channel Attention
Remote-Sensing Scene-Image Classification Method Based on Deep Multiple-Instance Learning with a residual Dense Attention ConvNet, A
Reparameterized residual Feature Network For Lightweight Image Super-Resolution
Res3ATN: Deep 3D residual Attention Network for Hand Gesture Recognition in Videos
ResDepth: A deep residual prior for 3D reconstruction from high-resolution satellite images
ResDepth: Learned residual Stereo Reconstruction
ResDLPS-Net: Joint residual-dense optimization for large-scale point cloud semantic segmentation
ResDNN: deep residual learning for natural image denoising
Research on Reliable Long-Baseline NRTK Positioning Method Considering Ionospheric residual Interpolation Uncertainty
ResFeats: residual network based features for image classification
ResFeats: residual network based features for underwater image classification
ResFPN: residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching
residual 3D convolutional neural network to enhance sinograms from small-animal positron emission tomography images
residual Analysis for Feature Detection
residual Analysis for Fingerprint Orientation Modeling
residual approach on a hierarchical segmentation
residual Attention and Local Context-Aware Network for Road Extraction from High-Resolution Remote Sensing Imagery, A
residual attention fusion network for video action recognition
residual Attention Graph Convolutional Network for Geometric 3D Scene Classification
residual Attention Network for Image Classification
residual attention unit for action recognition
residual attention-based tracking-by-detection network with attention-driven data augmentation
residual Attention: A Simple but Effective Method for Multi-Label Recognition
residual Augmented Attentional U-Shaped Network for Spectral Reconstruction from RGB Images
residual Cascade CNN for Detection of Spatially Relevant Objects in Agriculture: The Grape-stem Paradigm
residual Channel Attention Generative Adversarial Network for Image Super-Resolution and Noise Reduction
residual Codean Autoencoder for Facial Attribute Analysis
residual Coding in Document Image Compression
residual coding of depth map with transform skipping
residual Coding of Images for L-Infinity Control under the JPEG 2000 Framework
residual Component Analysis of Hyperspectral Images: Application to Joint Nonlinear Unmixing and Nonlinearity Detection
residual Convolutional Neural Network for Polarimetric SAR Image Super-Resolution, A
residual Convolutional Neural Networks to Automatically Extract Significant Breast Density Features
residual Correlation Regularization Based Image Denoising
residual Deconvolutional Networks for Brain Electron Microscopy Image Segmentation
residual Deformable Convolution for better image de-weathering
residual Degradation Learning Unfolding Framework with Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging
residual dense collaborative network for salient object detection
residual Dense Generative Adversarial Network For Pansharpening With Geometrical Constraints, A
residual Dense Network Based on Channel-Spatial Attention for the Scene Classification of a High-Resolution Remote Sensing Image
residual Dense Network for Image Restoration
residual Dense Network for Image Super-Resolution
residual dense U-Net for abnormal exposure restoration from single images
residual Dilated U-net For The Segmentation Of COVID-19 Infection From CT Images
residual Dilation Based Feature Pyramid Network
residual Dual Scale Scene Text Spotting by Fusing Bottom-Up and Top-Down Processing
residual Encoder-Decoder Network For Deep Subspace Clustering
residual Enhanced Multi-Hypergraph Neural Network
residual Excitation Skewness for Automatic Speech Polarity Detection
residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems
residual Feature Aggregation Network for Image Super-Resolution
residual Feature Distillation Channel Spatial Attention Network for ISP on Smartphone
residual Feature Pyramid Network for Enhancement of Vascular Patterns
residual feature pyramid networks for salient object detection
residual Filter for Improving Coding Performance of Noisy Video Sequences
residual Fractal Network for Single Image Super Resolution by Widening and Deepening
residual generator: An improved divergence minimization framework for GAN, The
residual Geometric Feature Transform Network for 3D Surface Super-Resolution
residual Graph Attention Network and Expression-Respect Data Augmentation Aided Visual Grounding
residual Group Channel and Space Attention Network for Hyperspectral Image Classification
residual Guided Deblocking With Deep Learning
residual Highway Convolutional Neural Networks for in-loop Filtering in HEVC
residual HSRCNN: Residual Hyper-Spectral Reconstruction CNN from an RGB Image
residual HSRCNN: Residual Hyper-Spectral Reconstruction CNN from an RGB Image
residual image coding for stereo image compression
residual Images Remove Illumination Artifacts!
residual Inception Skip Network for Binary Segmentation
residual Inception: A New Module Combining Modified Residual with Inception to Improve Network Performance
residual Inception: A New Module Combining Modified Residual with Inception to Improve Network Performance
residual interpolation for color image demosaicking
residual Learning Approach to Deblur and Generate High Frame Rate Video With an Event Camera, A
residual learning based CNN for breast cancer histopathological image classification
residual Learning for Salient Object Detection
residual Learning of Video Frame Interpolation Using Convolutional LSTM
residual Local Feature Network for Efficient Super-Resolution
residual LSTM Attention Network for Object Tracking
residual MeshNet: Learning to Deform Meshes for Single-View 3D Reconstruction
residual Multi-Attention Classification Network for A Forest Dominated Tropical Landscape Using High-Resolution Remote Sensing Imagery
residual multi-task learning for facial landmark localization and expression recognition
residual network with detail perception loss for single image super-resolution
residual Networks as Flows of Diffeomorphisms
residual Networks Based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment
residual Networks for Light Field Image Super-Resolution
residual Networks for Pulmonary Nodule Segmentation and Texture Characterization
residual Networks of Residual Networks: Multilevel Residual Networks
residual Networks of Residual Networks: Multilevel Residual Networks
residual Networks of Residual Networks: Multilevel Residual Networks
residual Neural Network Integrated with a Hydrological Model for Global Flood Susceptibility Mapping Based on Remote Sensing Datasets, A
residual Neural Networks, ResNet
residual objectness for imbalance reduction
residual orientation modeling for fingerprint enhancement and singular point detection
residual packet loss rate analysis of 2-D parity forward error correction
residual Parameter Transfer for Deep Domain Adaptation
residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
residual Pixel Attention Network for Spectral Reconstruction from RGB Images
residual Pyramid Learning for Single-Shot Semantic Segmentation
residual Quantization for Low Bit-Width Neural Networks
residual RCM Correction for LFM-CW Mini-SAR System Based on Fast-Time Split-Band Signal Interferometry
residual Regression With Semantic Prior for Crowd Counting
residual shape adaptive dense-nested Unet: Redesign the long lateral skip connections for metal surface tiny defect inspection
residual Signals Modeling for Layered Image/Video Softcast with Hybrid Digital-Analog Transmission
residual spatiotemporal convolutional networks for face anti-spoofing
residual Spectral-Spatial Attention Network for Hyperspectral Image Classification
residual Squeeze-and-Excitation Network for Battery Cell Surface Inspection
residual Stacked RNNs for Action Recognition
residual Swin Transformer Unet with Consistency Regularization for Automatic Breast Ultrasound Tumor Segmentation
residual U-Net for Retinal Vessel Segmentation
residual U-Structure Nested Conditional Adversarial Nets Colorized CT Improves Deep Learning Based Abdominal Multi-Organ Segmentation
residual Uncertainty in 3-Dimensional Reconstruction Using 2-Planes Calibration and Stereo Methods
residual UNet with Dual Attention: An ensemble residual UNet with dual attention for multi-modal and multi-class brain MRI segmentation
residual UNet with Dual Attention: An ensemble residual UNet with dual attention for multi-modal and multi-class brain MRI segmentation
residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition
residual Whiteness Principle for Automatic Parameter Selection in l2-l2 Image Super-Resolution Problems
residual-based forensic comparison of video sequences
residual-Based Post-Processing for HEVC
residual-Consensus Driven Linear Matching
residual-Dyad Encoder Discriminator Network for Remote Sensing Image Matching, A
residual-Guided Multiscale Fusion Network for Bit-Depth Enhancement
residual-Network-Leveraged Vehicle-Thrown-Waste Identification in Real-Time Traffic Surveillance Videos
residual-wider convolutional neural network for image recognition
residualGAN: Resize-Residual DualGAN for Cross-Domain Remote Sensing Images Semantic Segmentation
residuals of Tropospheric Delays from GNSS Data and Ray-Tracing as a Potential Indicator of Rain and Clouds
residuals Plus Directional Gaps Equals Skeletons
ResKD: residual-Guided Knowledge Distillation
ResLT: residual Learning for Long-Tailed Recognition
ResMax: Detecting Voice Spoofing Attacks with residual Network and Max Feature Map
ResNet-LDDMM: Advancing the LDDMM Framework Using Deep residual Networks
ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification
Resolving Copycat Problems in Visual Imitation Learning via residual Action Prediction
ResQ: residual Quantization for Video Perception
ResSaNet: A Hybrid Backbone of residual Block and Self-Attention Module for Masked Face Recognition
ResT-ReID: Transformer block-based residual learning for person re-identification
ReStyle: A residual-Based StyleGAN Encoder via Iterative Refinement
ResViT: residual Vision Transformers for Multimodal Medical Image Synthesis
Rethinking Motion Representation: residual Frames With 3D ConvNets
Rethinking Representation Learning-Based Hyperspectral Target Detection: A Hierarchical Representation residual Feature-Based Method
Retrieval of the Fine-Mode Aerosol Optical Depth over East China Using a Grouped residual Error Sorting (GRES) Method from Multi-Angle and Polarized Satellite Data
Reverse Attention-Based residual Network for Salient Object Detection
Revisiting residual Networks for Adversarial Robustness
RGBD Based Dimensional Decomposition residual Network for 3D Semantic Scene Completion
Rigorous modeling of GPS residual errors for precise point positioning
RLSCNet: A residual Line-Shaped Convolutional Network for Vanishing Point Detection
Rlstm: A Novel residual and Recurrent Network for Pedestrian Action Classification
RMP-SNN: residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network
Road extraction from high resolution remote sensing image via a deep residual and pyramid pooling network
Road Extraction from High-Resolution Remote Sensing Imagery Using Refined Deep residual Convolutional Neural Network
Robust Fitting by Adaptive-Scale residual Consensus
Robust Image and Video Dehazing with Visual Artifact Suppression via Gradient residual Minimization
Robust medical zero-watermarking algorithm based on residual-DenseNet
Robust PCA-Based Visual Tracking by Adaptively Maximizing the Matching residual Likelihood
Robust residual Dense Neural Network For Countering Antiforensic Attack on Median Filtered Images, A
Robust residual error consistent tracker with ranking mechanism
Robust Transform Estimator Based on residual Analysis and Its Application on UAV Aerial Images, A
Robust Visual Object Tracking with Two-Stream residual Convolutional Networks
Rotated Orthogonal Transform (ROT) for Motion-Compensation residual Coding
RQNet: residual Quaternion CNN for Performance Enhancement in Low Complexity and Device Robust Acoustic Scene Classification
RSAN: residual Subtraction and Attention Network for Single Image Super-Resolution
RSRN: Rich Side-Output residual Network for Medial Axis Detection
Saliency Detection: A Spectral residual Approach
Salient Object Detection in Stereoscopic 3D Images Using a Deep Convolutional residual Autoencoder
Salient object detection via a local and global method based on deep residual network
SAR Pixelwise Registration via Multiscale Coherent Point Drift With Iterative residual Map Minimization
SAR Target Detection Based on Improved SSD with Saliency Map and residual Network
SARGAN: Spatial Attention-Based residuals for Facial Expression Manipulation
Satellite Image Super-Resolution via Multi-Scale residual Deep Neural Network
SBAS Integrity Model to Overbound residuals of Higher-Order Ionospheric Effects in the Ionosphere-Free Linear Combination, An
Scale estimation with difference of ordered residuals
Scale-invariant batch-adaptive residual learning for person re-identification
Scale-Recurrent Multi-residual Dense Network for Image Super-Resolution
Scale-residual Learning Network for Scene Text Detection
Scene text recognition using residual convolutional recurrent neural network
Screen-rendered text images recognition using a deep residual network based segmentation-free method
Sea Ice-Water Classification of RADARSAT-2 Imagery Based on residual Neural Networks (ResNet) with Regional Pooling
Sea Surface Chlorophyll-a Concentration Retrieval from HY-1C Satellite Data Based on residual Network
Secchi Depth Algorithm Considering the residual Error in Satellite Remote Sensing Reflectance Data, A
Segmentation of Lesion in Dermoscopy Images Using Dense-residual Network with Adversarial Learning
Segmenting Hepatic Lesions Using residual Attention U-Net with an Adaptive Weighted Dice Loss
Selection of Local Optical Flow Models by Means of residual Analysis
Self-learning residual model for fast intra CU size decision in 3D-HEVC
Self-Organized residual Blocks for Image Super-Resolution
Self-Supervised Assisted Semi-Supervised residual Network for Hyperspectral Image Classification
Self-Supervised Learning of Non-Rigid residual Flow and Ego-Motion
Self-Supervised residual Feature Learning Model for Multifocus Image Fusion, A
Sentinel-2 Image Fusion Using a Deep residual Network
Sentinel-2 Sharpening via Parallel residual Network
Sequential Convolution and Runge-Kutta residual Architecture for Image Compressed Sensing
Sequential Convolutional residual Network for Image Recognition
SERNet: Squeeze and Excitation residual Network for Semantic Segmentation of High-Resolution Remote Sensing Images
Shape Priors by Kernel Density Modeling of PCA residual Structure
Shortlist Selection with residual-Aware Distance Estimator for K-Nearest Neighbor Search
simple and effective method for removing residual reflected skylight in above-water remote sensing reflectance measurements, A
Simplified EZW Image Coder with residual Data Transmission
Simplified generalized residual prediction in scalable extension of HEVC
Single image resolution enhancement by efficient dilated densely connected residual network
Single Image Super Resolution Based on Deep residual Network via Lateral Modules
Single Image Super-Resolution Via residual Neuron Attention Networks
Single Image Super-Resolution with a Parameter Economic residual-Like Convolutional Neural Network
Single Image Super-Resolution with Dynamic residual Connection
Single Remote Sensing Image Dehazing Using a Dual-Step Cascaded residual Dense Network
Single residual Network with ESA Modules and Distillation, A
Single-Image Rain Removal Using residual Deep Learning
Single-Image Super-Resolution of Sentinel-2 Low Resolution Bands with residual Dense Convolutional Neural Networks
Single-loop SNR scalability using binary residual refinement coding
Singular vector decomposition based adaptive transform for motion compensation residuals
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception residual Networks
Skin lesion classification based on the VGG-16 fusion residual structure
Skinned Motion Retargeting with residual Perception of Motion Semantics and Geometry
Skip residual Pairwise Networks With Learnable Comparative Functions for Few-Shot Learning
Smaller residual Network for Single Image Depth Estimation
Snow Mask Guided Adaptive residual Network for Image Snow Removal
SNRCN2: Steganalysis noise residuals based CNN for source social network identification of digital images
Some results on feature detection using residual analysis
Source camera identification based on content-adaptive fusion residual networks
Source camera identification from significant noise residual regions
Sparse Coding on Cascaded residuals
Sparse Signal Recovery via Multi-residual Based Greedy Method
Sparse/DCT (S/DCT) Two-Layered Representation of Prediction residuals for Video Coding
Spatial Gap-Filling of GK2A Daily Sea Surface Temperature (SST) around the Korean Peninsula Using Meteorological Data and Regression residual Kriging (RRK)
Spatial Hierarchy Aware residual Pyramid Network for Time-of-flight Depth Denoising
Spatial residual Layer and Dense Connection Block Enhanced Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
Spatial Resolution Enhancement of Satellite Microwave Radiometer Data with Deep residual Convolutional Neural Network
Spatial Steganalysis Using Contrast of residuals
Spatial-Adaptive Siamese residual Network for Multi-/Hyperspectral Classification
Spatial-Spectral Fusion in Different Swath Widths by a Recurrent Expanding residual Convolutional Neural Network
Spatial-Spectral Squeeze-and-Excitation residual Network for Hyperspectral Image Classification
Spatial-Temporal Depth-Wise residual Network for Crop Sub-Pixel Mapping from MODIS Images, A
Spatially Adaptive Computation Time for residual Networks
Spatiotemporal Feature residual Propagation for Action Prediction
SPECT bone scan image classification by fusing multi-attention mechanism with deep residual networks
Spectral Grouping and Attention-Driven residual Dense Network for Hyperspectral Image Super-Resolution, A
Spectral Spatial Attention Fusion with Deformable Convolutional residual Network for Hyperspectral Image Classification, A
Spectral-Spatial Fractal residual Convolutional Neural Network With Data Balance Augmentation for Hyperspectral Classification
Spectral-Spatial residual Network for Fusing Hyperspectral and Panchromatic Remote Sensing Images
Spectral-Spatial residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework
Specular-Free residual Minimization for Photometric Stereo with Unknown Light Sources
Squeeze-and-Excitation Wide residual Networks in Image Classification
SR-SIM: A fast and high performance IQA index based on spectral residual
SRN: Side-Output residual Network for Object Symmetry Detection in the Wild
SRNHARB: A deep light-weight image super resolution network using hybrid activation residual blocks
Stacked squeeze-and-excitation recurrent residual network for visual-semantic matching
Statistical Analyses of Disparity Maps and Disparity Compensated residuals in the Presence of Occlusions
Stereo Generation from a Single Image Using Deep residual Network
Stereo Vision, residual Image Processing and Mars Rover Localization
StereoDRNet: Dilated residual StereoNet
Strategy for residual Component-Based Multiple Structured Dictionary Learning, A
STRPM: A Spatiotemporal residual Predictive Model for High-Resolution Video Prediction
Structural Nonlinear Damage Identification Method Based on the Kullback-Leibler Distance of Time Domain Model residuals
Structure Fusion for Automatic Segmentation of Left Atrial Aneurysm Based on Deep residual Networks
StyleRes: Transforming the residuals for Real Image Editing with StyleGAN
Super Predictive-Transform residual Vector Quantization
Super Resolution Enhancement of Satellite Remote Sensing Images of Transmission Tower Based on Multi-map residual Network and Wavelet Transform
Super-Resolution Based on residual Learning and Optimized Phase Stretch Transform
Super-resolution from learning the enhancement ratio and texture/residual dictionary
Super-Resolution of Remote Sensing Images via a Dense residual Generative Adversarial Network
Super-Resolution of Single Remote Sensing Image Based on residual Dense Backprojection Networks
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive residual Network
SurfNet: Generating 3D Shape Surfaces Using Deep residual Networks
Surrogate Projection Method for the Constrained Minimization of residual Energy in Image Restoration, A
SVM Based GMM Supervector Speaker Recognition Using LP residual Signal
Systematic study and design of multimodal MRI image augmentation for brain tumor detection with loss aware exchange and residual networks
Target Detection and DOA Estimation for Passive Bistatic Radar in the Presence of residual Interference
Target Tracking Using residual Vector Quantization
Task residual for Tuning Vision-Language Models
Techniques for Revealing 3D Hidden Archeological Features: Morphological residual Models as Virtual-Polynomial Texture Maps
Telescopic Vector Composition and Polar Accumulated Motion residuals for Feature Extraction in Arabic Sign Language Recognition
Temporal Deformable residual Networks for Action Segmentation in Videos
Temporal Downscaling Model for Gridded Geophysical Data with Enhanced residual U-Net, A
Temporal residual data sub-sampling in LDV representation format
Temporal residual Networks for Dynamic Scene Recognition
Thermal Face Recognition Based on Transformation by residual U-net and Pixel Shuffle Upsampling
Thick Cloud Removal in High-Resolution Satellite Images Using Stepwise Radiometric Adjustment and residual Correction
Thin cloud removal with residual symmetrical concatenation network
To miss-attend is to misalign! residual Self-Attentive Feature Alignment for Adapting Object Detectors
Towards a high quality Arabic speech synthesis system based on neural networks and residual excited vocal tract model
Towards Automatic Wild Animal Detection in Low Quality Camera-Trap Images Using Two-Channeled Perceiving residual Pyramid Networks
Towards efficient medical lesion image super-resolution based on deep residual networks
Towards generalized morphing attack detection by learning residuals
Towards Predicting the Measurement Noise Covariance with a Transformer and residual Denoising Autoencoder for GNSS/INS Tightly-Coupled Integrated Navigation
TPUAR-Net: Two Parallel U-Net with Asymmetric residual-Based Deep Convolutional Neural Network for Brain Tumor Segmentation
Traffic Sign Instances Segmentation Using Aliased residual Structure and Adaptive Focus Localizer
Transform Coding of Stereo Image residuals
Transform with residual rearrangement for HEVC intra coding
Transformer-based residual Network for Hyperspectral Snapshot Compressive Reconstruction
Transforms for Intra Prediction residuals Based on Prediction Inaccuracy Modeling
TRG-DQA: Texture residual-Guided Dehazed Image Quality Assessment
TriResNet: A Deep Triple-Stream residual Network for Histopathology Grading
Truncated Nuclear Norm Regularization Method Based on Weighted residual Error for Matrix Completion, A
Two Stages Pan-Sharpening Details Injection Approach Based on Very Deep residual Networks
Two-stage progressive residual learning network for multi-focus image fusion
Two-Stream Designed 2D/3D residual Networks with LSTMS for Action Recognition in Videos
UAV Remote Sensing Image Automatic Registration Based on Deep residual Features
Uncertainty Guided Multi-Scale residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining
Uncertainty-Aware Unsupervised Image Deblurring with Deep residual Prior
Underwater image enhancement via LBP-based attention residual network
Unsupervised Spectral-Spatial Feature Learning via Deep residual Conv-Deconv Network for Hyperspectral Image Classification
Urban Building Change Detection in SAR Images Using Combined Differential Image and residual U-Net Network
URNet: A U-Shaped residual Network for Lightweight Image Super-Resolution
Use of Gaussian Codebooks for residual Vector Quantizers
Use of residuals in Image Denoising, The
User Independent Emotion Recognition with residual Signal-Image Network
Using Signal/residual Information of Eigenfaces for PCA Face Space Dimensionality Characteristics
Using the Model-Based residual Bootstrap to Quantify Uncertainty in Fiber Orientations From Q-Ball Analysis
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep residual Networks
Variable-branch Tree-structured residual Vector Quantization
Variations in Nocturnal residual Layer Height and Its Effects on Surface PM2.5 over Wuhan, China
Vascular Space Occupancy Weighted Imaging With Control of residual Blood Signal and Higher Contrast-to-Noise Ratio
Vehicle Instance Segmentation From Aerial Image and Video Using a Multitask Learning residual Fully Convolutional Network
Very Deep residual Network for Image Matting
Video Action Recognition with Adaptive Zooming Using Motion residuals
Video anomaly detection using deep residual-spatiotemporal translation network
Video Compression Scheme with Optimal Bit Allocation Among Segmentation, Motion, and residual Error, A
Video Compressive Sensing Reconstruction via Reweighted residual Sparsity
Video Deblurring Algorithm Using Accurate Blur Kernel Estimation and residual Deconvolution Based on a Blurred-Unblurred Frame Pair
Video frame interpolation via residual blocks and feature pyramid networks
Video Person Re-Identification by Temporal residual Learning
Video Saliency Prediction Using Spatiotemporal residual Attentive Networks
Video Snapshot Compressive Imaging Using residual Ensemble Network
Video super-resolution based on spatial-temporal recurrent residual networks
Video super-resolution using motion compensation and residual bidirectional recurrent convolutional network
Video-based action recognition using spurious-3D residual attention networks
Visibility Extension of 1-D Aperture Synthesis by a residual CNN for Spatial Resolution Enhancement
Visual Saliency Detection via Sparse residual and Outlier Detection
Visualizing Apparent Personality Analysis with Deep residual Networks
VOLDOR: Visual Odometry From Log-Logistic Dense Optical Flow residuals
WAFP-Net: Weighted Attention Fusion Based Progressive residual Learning for Depth Map Super-Resolution
Warping residual Based Image Stitching for Large Parallax
Water Areas Segmentation from Remote Sensing Images Using a Separable residual SegNet Network
Wavelet Approximation-Aware residual Network for Single Image Deraining
Wavelet based medical image super resolution using cross connected residual-in-dense grouped convolutional neural network
Wavelet Decomposition and Polynomial Fitting-Based Method for the Estimation of Time-Varying residual Motion Error in Airborne Interferometric SAR, A
Wavelet domain residual redundancy-based descriptions
Weather Radar Super-Resolution Reconstruction Based on residual Attention Back-Projection Network
WeatherNet: Recognising Weather and Visual Conditions from Street-Level Images Using Deep residual Learning
Weighted Convolutional Motion-Compensated Frame Rate Up-Conversion Using Deep residual Network
Weighted sparse coding residual minimization for visual tracking
Welding Joints Inspection via residual Attention Network
Wide residual Networks
Wide-Slice residual Networks for Food Recognition
Widening residual skipped network for semantic segmentation
Wildcat: In-The-Wild Color-And-Thermal Patch Comparison with Deep residual Pseudo-Siamese Networks
1129 for residual

_residualgan_
residualgan: Resize-Residual DualGAN for Cross-Domain Remote Sensing Images Semantic Segmentation

_residually_
Multiple Resolution residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images

_residue_
Automated abdominal fat quantification and food residue removal in CT
Camera Source Identification Using Discrete Cosine Transform residue Features and Ensemble Classifier
Can Neural Networks Forecast Open Field Burning of Crop residue in Regions with Anthropogenic Management and Control? A Case Study in Northeastern China
Cascade Attention Guided residue Learning GAN for Cross-Modal Translation
Chroma Characteristic Recognition Based Algorithm for Rapid Detection of residues
CIRI: Curricular Inactivation for residue-aware One-shot Video Inpainting
Clustering-driven residue filter for profile measurement system
Combining a binary input encoding scheme with RBFNN for globulin protein inter-residue contact map prediction
Comparative Analysis of the Impact of Two Common residue Burning Parameters on Urban Air Quality Indicators
Comparative Approach of Fuzzy Object Based Image Analysis and Machine Learning Techniques Which Are Applied to Crop residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery, A
Comparing the Ability of Burned Area Products to Detect Crop residue Burning in China
Comparison of Estimating Crop residue Cover from Sentinel-2 Data Using Empirical Regressions and Machine Learning Methods, A
Comparison of Five Spectral Indices and Six Imagery Classification Techniques for Assessment of Crop residue Cover Using Four Years of Landsat Imagery
Consensus-Based Prediction of RNA and DNA Binding residues from Protein Sequences
Constraining image object search by multi-scale spectral residue analysis
Convolutional Neural Network-Based Arithmetic Coding for HEVC Intra-Predicted residues
Corn residue Covered Area Mapping with a Deep Learning Method Using Chinese GF-1 B/D High Resolution Remote Sensing Images
Crop residue Analysis
D3R-Net: Dynamic Routing residue Recurrent Network for Video Rain Removal
Detecting Winter Cover Crops and Crop residues in the Midwest US Using Machine Learning Classification of Thermal and Optical Imagery
Detection of Archaeological residues in Vegetated Areas Using Satellite Synthetic Aperture Radar
Digital Image Tamper Detection Based on Multimodal Fusion of residue Features
Dual Way residue Noise Thresholding along with feature preservation
Edge detection in range images through morphological residue analysis
Efficient depth map coding using linear residue approximation and a flexible prediction framework
Efficient residue Number System Based Winograd Convolution
Epitome inpainting with in-loop residue coding for image compression
Estimating Emissions from Crop residue Open Burning in Central China from 2012 to 2020 Using Statistical Models Combined with Satellite Observations
Estimation of Field-Level NOx Emissions from Crop residue Burning Using Remote Sensing Data: A Case Study in Hubei, China
Estimation of Maize residue Cover Using Landsat-8 OLI Image Spectral Information and Textural Features
Estimation of Winter Wheat residue Coverage Using Optical and SAR Remote Sensing Images
Evaluation Of Aster Images For Characterization And Mapping Of Amethyst Mining residues
Evaluation of SWIR Crop residue Bands for the Landsat Next Mission
Examining the Influence of Crop residue Burning on Local PM2.5 Concentrations in Heilongjiang Province Using Ground Observation and Remote Sensing Data
Facial Expression Recognition by De-expression residue Learning
Fast mode decision algorithm for H.264/AVC using edge characteristics of residue images
Fuzzy Object-Based Image Analysis Methods Using Sentinel-2A and Landsat-8 Data to Map and Characterize Soil Surface residue
GridDS: a hybrid data structure for residue computation in point set matching
Hallucinating Faces: Global Linear Modal Based Super-Resolution and Position Based residue Compensation
Hallucinating faces: LPH super-resolution and neighbor reconstruction for residue compensation
Hallucinating Faces: TensorPatch Super-Resolution and Coupled residue Compensation
Image error concealment using edge map and linear prediction residue watermarking and spatial smoothing
Improved ASTER Index for Remote Sensing of Crop residue, An
Improved mode decision algorithm based on residues and early zero block detection in H.264/AVC
Improved motion estimation time using a combination of dynamic reference frame selection and residue-based mode decision
Improving protein secondary structure prediction by using the residue conformational classes
Improving the Efficiency of MECoMaP: A Protein residue-Residue Contact Predictor
Improving the Efficiency of MECoMaP: A Protein residue-Residue Contact Predictor
Independent component analysis in a facial local residue space
Independent component analysis in a local facial residue space for face recognition
Inter-frame forgery detection based on differential energy of residue
IRGUN: Improved residue Based Gradual Up-Scaling Network for Single Image Super Resolution
Learning residue-Aware Correlation Filters and Refining Scale Estimates with the GrabCut for Real-Time UAV Tracking
Learning residue-aware correlation filters and refining scale for real-time UAV tracking
Lightweight Deep residue Learning for Joint Color Image Demosaicking and Denoising
Low-Light Image Enhancement with Multi-stage residue Quantization and Brightness-aware Attention
Mapping Crop residue and Tillage Intensity Using WorldView-3 Satellite Shortwave Infrared Residue Indices
Mapping Crop residue and Tillage Intensity Using WorldView-3 Satellite Shortwave Infrared Residue Indices
Mapping Crop residue by Combining Landsat and WorldView-3 Satellite Imagery
Mapping of Aluminum Concentration in Bauxite Mining residues Using Sentinel-2 Imagery
Method and Device for Image Coding and Transferring Based on residue Number System
Mining residue contacts in proteins using local structure predictions
Modeling Rates and Distortions Based on a Mixture of Laplacian Distributions for Inter-Predicted residues in Quadtree Coding of HEVC
Modeling the Corn residue Coverage after Harvesting and before Sowing in Northeast China by Random Forest and Soil Texture Zoning
Morphological residues and a General Framework for Image Filtering and Segmentation
Motion-Compensated residue Preprocessing in Video Coding Based on Just-Noticeable-Distortion Profile
Noise reduction and enhancement by means of adaptive residue-image processing
Noise-residue Filtering Based on Unsupervised Clustering for Phase Unwrapping
Noise-residue filtering of interferometric phase images
Numerical residues
Optimizing Landsat Next Shortwave Infrared Bands for Crop residue Characterization
Ordered small multiple treemaps for visualizing time-varying hierarchical pesticide residue data
Overcoming Common Pitfalls to Improve the Accuracy of Crop residue Burning Measurement Based on Remote Sensing Data
Perceptually-adaptive pre-processing for motion-compensated residue in video coding
Plant Bounding Box Detection from Desirable residues of the Ultimate Levelings
principles of proper placement of branch cut in phase unwrapping using combined and extended methods based on residue searching, The
Protein folding using inter-residue contact
protein sequence meta-functional signature for calcium binding residue prediction, A
Rain-Free and residue Hand-in-Hand: A Progressive Coupled Network for Real-Time Image Deraining
Relationship Between Rice residue Burning and Increasing Air Pollution In North-west India
residue boundary histograms for action recognition in the compressed domain
residue Number System Hardware Design of Fast-Search Variable-Motion-Estimation Accelerator for HEVC/H.265, A
residue role assignment based transform partition predetermination on HEVC
residue-free video coding with pixelwise adaptive spatio-temporal prediction
residues Cluster-Based Segmentation and Outlier-Detection Method for Large-Scale Phase Unwrapping
residues of Morphological Filtering by Reconstruction for Texture Classification
RSARE: A physically-based vegetation index for estimating wheat green LAI to mitigate the impact of leaf chlorophyll content and residue-soil background
Soil Organic Carbon Mapping from Remote Sensing: The Effect of Crop residues
Soil Organic Carbon Mapping Using LUCAS Topsoil Database and Sentinel-2 Data: An Approach to Reduce Soil Moisture and Crop residue Effects
Sparse residue for occluded face image reconstruction and classification
Spatial Variability Mapping of Crop residue Using Hyperion (EO-1) Hyperspectral Data
Spatial-temporal residue network based in-loop filter for video coding
Spatiotemporal Variations and Uncertainty in Crop residue Burning Emissions over North China Plain: Implication for Atmospheric CO2 Simulation
Spectral Indices to Improve Crop residue Cover Estimation under Varying Moisture Conditions
Stability of 2-D Causal Digital Filters Using the residue Theorem
STAR-Net: A SpaTial Attention residue Network for Scene Text Recognition
Structure-Preserving Deraining with residue Channel Prior Guidance
Study on the distribution of DCT residues and its application to R-D analysis of video coding
Subband Dictionaries for Low-Cost Matching Pursuits of Video residues
Understanding Temporal and Spatial Distribution of Crop residue Burning in China from 2003 to 2017 Using MODIS Data
Unsupervised Disentangling of Viewpoint and residues Variations by Substituting Representations for Robust Face Recognition
Using Hyperspectral Crop residue Angle Index to Estimate Maize and Winter-Wheat Residue Cover: A Laboratory Study
Using Hyperspectral Crop residue Angle Index to Estimate Maize and Winter-Wheat Residue Cover: A Laboratory Study
Video Compression with Binary Tree Recursive Motion Estimation and Binary Tree residue Coding
Video Filtering With Fermat Number Theoretic Transforms Using residue Number System
105 for residue

Index for "r"


Last update:10-Apr-24 10:47:19
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