| _ | receptive | _ |
|---|
| Adaptive Effective | receptive | Field Convolution for Semantic Segmentation of VHR Remote Sensing Images |
| Application of binocular disparity and | receptive | field dynamics: A biologically-inspired model for contour detection |
| artificial retina with a self-organised retinal | receptive | field tessellation, An |
| Associating Multi-Scale | receptive | Fields For Fine-Grained Recognition |
| Automatic estimation of deterioration level on transmission towers via deep extreme learning machine based on local | receptive | field |
| Autorf: Auto Learning | receptive | Fields with Spatial Pooling |
| Beyond single | receptive | field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification |
| Beyond single | receptive | field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification |
| Beyond spatial pyramids: | receptive | field learning for pooled image features |
| Blind S3D image quality prediction using classical and non-classical | receptive | field models |
| boosting approach to learning | receptive | fields for scene categorization, A |
| Boosting Broader | receptive | Fields for Salient Object Detection |
| Camera calibration based on | receptive | fields |
| Cascaded Deep Networks With Multiple | receptive | Fields for Infrared Image Super-Resolution |
| Colour Constancy Beyond the Classical | receptive | Field |
| Complementary Features with Reasonable | receptive | Field for Road Scene 3D Object Detection |
| Composed complex-cue histograms: An investigation of the information content in | receptive | field based image descriptors for object recognition |
| Comprehensive | receptive | field adaptive graph convolutional networks for action recognition |
| Computational model of cortical neuronal | receptive | fields for self-motion perception |
| Contour detection based on nonclassical | receptive | field inhibition |
| CroplandCDNet: Cropland Change Detection Network for Multitemporal Remote Sensing Images Based on Multilayer Feature Transmission Fusion of an Adaptive | receptive | Field |
| Cross- | receptive | Focused Inference Network for Lightweight Image Super-Resolution |
| CSEF-Net: Cross-Scale SAR Ship Detection Network Based on Efficient | receptive | Field and Enhanced Hierarchical Fusion |
| Dead pixel test using effective | receptive | field |
| Delving into the Effectiveness of | receptive | Fields: Learning Scale-Transferrable Architectures for Practical Object Detection |
| Dense | receptive | Field for Object Detection |
| Design of multi-scale | receptive | field convolutional neural network for surface inspection of hot rolled steels |
| Disentangled convolution for optimizing | receptive | field |
| Diverse | receptive | Field Based Adversarial Concurrent Encoder Network for Image Inpainting |
| Diverse | receptive | field network with context aggregation for fast object detection |
| Dynamic | receptive | field adaptation for scene text recognition |
| Dynamic | receptive | Field Generation for Full-Reference Image Quality Assessment |
| Dynamic Texture Recognition Using Time-Causal and Time-Recursive Spatio-Temporal | receptive | Fields |
| Early Vision and Image Processing: Evidences Favouring a Dynamic | receptive | Field Model |
| Edge Detection Based on | receptive | Field |
| Efficient Image Super-resolution Using Vast- | receptive | -Field Attention |
| Efficient- | receptive | Field Block with Group Spatial Attention Mechanism for Object Detection |
| Encoder-Decoder Structure with Multiscale | receptive | Field Block for Unsupervised Depth Estimation from Monocular Video |
| ERDN: Equivalent | receptive | Field Deformable Network for Video Deblurring |
| ESarDet: An Efficient SAR Ship Detection Method Based on Context Information and Large Effective | receptive | Field |
| Evaluation of sets of oriented and non-oriented | receptive | fields as local descriptors |
| Event detection in coarsely annotated sports videos via parallel multi | receptive | field 1D convolutions |
| Extending class activation mapping using Gaussian | receptive | field |
| Fast Computation of Scale Normalised Gaussian | receptive | Fields |
| Finger Vein Recognition Based on Multi- | receptive | Field Bilinear Convolutional Neural Network |
| Full-Reference Quality Assessment of Stereoscopic Images by Learning Binocular | receptive | Field Properties |
| Fully End-to-End Learning Based Conditional Boundary Equilibrium GAN with | receptive | Field Sizes Enlarged for Single Ultra-High Resolution Image Dehazing |
| Fully unsupervised clustering using centre-surround | receptive | fields with applications to colour-segmentation |
| Genetic design of biologically inspired | receptive | fields for neural pattern recognition |
| Global | receptive | -Based Neural Network for Target Recognition in SAR Images |
| hierarchical | receptive | network oriented to target recognition in SAR images, A |
| High-quality retinal vessel segmentation using generative adversarial network with a large | receptive | field |
| High-Resolution Image Dehazing with Respect to Training Losses and | receptive | Field Sizes |
| How old are you?: Age Estimation with Tensors of Binary Gaussian | receptive | Maps |
| Illumination-insensitive image representation via synergistic weighted center-surround | receptive | field model and Weber law |
| Improved Contour Detection by Non-classical | receptive | Field Inhibition |
| Incremental Learning With Balanced Update on | receptive | Fields for Multi-Sensor Data Fusion |
| Infrared and Visible Image Fusion via Multiscale | receptive | Field Amplification Fusion Network |
| Integrating Multiple | receptive | Fields Through Grouped Active Convolution |
| Large | receptive | field convolutional neural network for image super-resolution |
| Large | receptive | Field Networks for High-Scale Image Super-Resolution |
| Larger | receptive | Field Based RGB Visual Relocalization Method Using Convolutional Network |
| Learning Adaptive | receptive | Fields for Deep Image Parsing Network |
| Learning Effective Global | receptive | Field for Facial Expression Recognition |
| Learning Nonclassical | receptive | Field Modulation for Contour Detection |
| Learning | receptive | Field Size by Learning Filter Size |
| Learning | receptive | Fields and Quality Lookups for Blind Quality Assessment of Stereoscopic Images |
| Learning | receptive | Fields for Pooling from Tensors of Feature Response |
| Lightweight detection network based on | receptive | -field feature enhancement convolution and three dimensions attention for images captured by UAVs |
| Lightweight Spatial Attention Module with Adaptive | receptive | Fields in 3d Convolutional Neural Network for Alzheimer's Disease Classification, A |
| Linear Neural Circuitry Model for Visual | receptive | Fields |
| Local adaptive | receptive | field self-organizing map for image color segmentation |
| Local | receptive | field constrained stacked sparse autoencoder for classification of hyperspectral images |
| Localized | receptive | Fields May Mediate Transformation-Invariant Recognition in the Visual Cortex |
| LRFFNet: Large | receptive | Field Feature Fusion Network for Semantic Segmentation of SAR Images in Building Areas |
| Malleable 2.5d Convolution: Learning | receptive | Fields Along the Depth-axis for RGB-D Scene Parsing |
| Masked Linear Regression for Learning Local | receptive | Fields for Facial Expression Synthesis |
| MHLDet: A Multi-Scale and High-Precision Lightweight Object Detector Based on Large | receptive | Field and Attention Mechanism for Remote Sensing Images |
| Model for Cell | receptive | Fields in the Visual Striate Cortex, A |
| MPI: Multi- | receptive | and parallel integration for salient object detection |
| MRFF-YOLO: A Multi- | receptive | Fields Fusion Network for Remote Sensing Target Detection |
| MRFN: Multi- | receptive | -Field Network for Fast and Accurate Single Image Super-Resolution |
| MSFD: Multi-Scale | receptive | Field Face Detector |
| Multi | receptive | Field Network for Semantic Segmentation |
| Multi- | receptive | Field Aggregation Network for single image deraining |
| Multi- | receptive | field graph convolutional neural networks for pedestrian detection |
| Multi-scale pedestrian detection with global-local attention and multi-scale | receptive | field context |
| Multilevel | receptive | field expansion network for small object detection |
| Multiscale Object Detection in Remote Sensing Images Combined with Multi- | receptive | -Field Features and Relation-Connected Attention |
| NMF, LNMF, and DNMF modeling of neural | receptive | fields involved in human facial expression perception |
| novel | receptive | field-regularized V-net and nodule classification network for lung nodule detection, A |
| Object Class Recognition and Localization Using Sparse Features with Limited | receptive | Fields |
| Object Detection in Remote Sensing Images via Multi-Feature Pyramid Network with | receptive | Field Block |
| Object detection using convolutional networks with adaptively adjusting | receptive | field of convolutional filter |
| Object Recognition using Coloured | receptive | Fields |
| Object recognition using composed | receptive | field histograms of higher dimensionality |
| Object Recognition Using Multidimensional | receptive | Field Histograms |
| Omni-supervised Point Cloud Segmentation via Gradual | receptive | Field Component Reasoning |
| On the | receptive | field misalignment in CAM-based visual explanations |
| On-Line Video Motion Estimation by Invariant | receptive | Inputs |
| PeakConv: Learning Peak | receptive | Field for Radar Semantic Segmentation |
| Perceptual Extreme Super Resolution Network with | receptive | Field Block |
| Person re-identification: Implicitly defining the | receptive | fields of deep learning classification frameworks |
| Pooling Revisited: Your | receptive | Field is Suboptimal |
| Positive-Negative | receptive | Field Reasoning for Omni-Supervised 3D Segmentation |
| PRF-Ped: Multi-scale Pedestrian Detector with Prior-based | receptive | Field |
| Probabilistic Object Recognition Using Multidimensional | receptive | Field Histograms |
| Real-Time Foveated Sensor with Overlapping | receptive | -Fields, A |
| RecepNet: Network with Large | receptive | Field for Real-Time Semantic Segmentation and Application for Blue-Green Algae |
| receptive | Field Assembly Pattern Specificity |
| receptive | Field Based Image Modeling Method for Interactive Segmentation |
| receptive | Field Block Net for Accurate and Fast Object Detection |
| receptive | Field Issues |
| receptive | Field Size Optimization with Continuous Time Pooling |
| receptive | Field Size Versus Model Depth for Single Image Super-Resolution |
| receptive | field structures for recognition |
| receptive | fields and functional architecture of monkey striate cortex |
| receptive | Fields Selection for Binary Feature Description |
| receptive | fields within the Combinatorial Pyramid framework |
| receptive | fields, binocular interaction and functional architecture in the cat's visual cortex |
| receptive | Multi-Granularity Representation for Person Re-Identification |
| Recognition without Correspondence using Multidimensional | receptive | Field Histograms |
| Representing 3D Objects by Sets of Activities of | receptive | Fields |
| Revealing Fine Structures of the Retinal | receptive | Field by Deep-Learning Networks |
| Revisiting the | receptive | Field of Conv-GRU in DROID-SLAM |
| RF-Net: An End-To-End Image Matching Network Based on | receptive | Field |
| RF-Next: Efficient | receptive | Field Search for Convolutional Neural Networks |
| RFLA: Gaussian | receptive | Field Based Label Assignment for Tiny Object Detection |
| Segmenting Textures Using Cells with Adaptive | receptive | Fields |
| Separable Time-Causal and Time-Recursive Spatio-Temporal | receptive | Fields |
| Shaping | receptive | fields for affine invariance |
| Single Image Super-Resolution via Cascaded Parallel Multisize | receptive | Field |
| Spectral-Temporal | receptive | Field-Based Descriptors and Hierarchical Cascade Deep Belief Network for Guitar Playing Technique Classification |
| Stroke Controllable Fast Style Transfer with Adaptive | receptive | Fields |
| Structured | receptive | Fields in CNNs |
| Supervised Classification of Hyperspectral Images Using Local- | receptive | -Fields-Based Kernel Extreme Learning Machine |
| Suppression of contour perception by band-limited noise and its relation to non-classical | receptive | field inhibition |
| Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying | receptive | Fields |
| Time-Causal and Time-Recursive Spatio-Temporal | receptive | Fields |
| Tone Mapping Beyond the Classical | receptive | Field |
| Translated Skip Connections: Expanding the | receptive | Fields of Fully Convolutional Neural Networks |
| Two-dimensional spectral analysis of cortical | receptive | field profiles |
| Velocity adaptation of spatio-temporal | receptive | fields for direct recognition of activities: an experimental study |
| Video BagNet: short temporal | receptive | fields increase robustness in long-term action recognition |
| Weighted KPCA Degree of Homogeneity Amended Nonclassical | receptive | Field Inhibition Model for Salient Contour Extraction in Low-Light-Level Image |
| Wide | receptive | Field and Channel Attention Network for JPEG Compressed Image Deblurring |
146 for receptive