Hypercolumns for object segmentation and fine-grained localization

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Fully convolutional networks for semantic segmentation

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Fully convolutional networks for semantic segmentation

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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

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Joint Training of a Convolutional Network and a Graphical Model for Human Pose EstimationPreprint

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Part-Based R-CNNs for Fine-Grained Category Detection

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Simultaneous Detection and Segmentation

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Multiscale Combinatorial Grouping

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Pedestrian Detection with Unsupervised Multi-stage Feature Learning

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Bird Species Categorization Using Pose Normalized Deep Convolutional NetsPreprint

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Parsing clothing in fashion photographs

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Semantic Segmentation with Second-Order Pooling

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Convolutional feature masking for joint object and stuff segmentation

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Detecting People Using Mutually Consistent Poselet Activations

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Class-Specific, Top-Down Segmentation

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Paper Doll Parsing: Retrieving Similar Styles to Parse Clothing Items

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Using k-Poselets for Detecting People and Localizing Their Keypoints

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R-CNNs for Pose Estimation and Action Detection

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Layered Object Models for Image Segmentation

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Pedestrian Parsing via Deep Decompositional Network

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Bottom-Up Segmentation for Top-Down Detection

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The truth about cats and dogs

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Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation

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Towards Unified Object Detection and Semantic Segmentation

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Shape-based pedestrian parsing

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Learning to localize detected objects

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Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets

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Volumetric Semantic Segmentation Using Pyramid Context Features

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U-Net: Convolutional Networks for Biomedical Image Segmentation

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Densely Connected Convolutional Networks

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Fully convolutional networks for semantic segmentation

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Untitled work

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Feature Pyramid Networks for Object Detection

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Mask R-CNN

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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

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SSD: Single Shot MultiBox Detector

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Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

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Pyramid Scene Parsing Network

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The Cityscapes Dataset for Semantic Urban Scene Understanding

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Fully convolutional networks for semantic segmentation

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YOLOv4: Optimal Speed and Accuracy of Object Detection

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Path Aggregation Network for Instance Segmentation

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3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

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Stacked Hourglass Networks for Human Pose Estimation

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UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

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Flownet: Learning optical flow with convolutional networks

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Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

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Learning Deconvolution Network for Semantic Segmentation

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Object Detection in 20 Years: A Survey

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Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

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Mask r-cnn

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Holistically-Nested Edge Detection

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Colorful Image Colorization

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RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation

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A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

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Region-based convolutional networks for accurate object detection and segmentation

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Deep learning for visual understanding: A review

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Conditional Random Fields as Recurrent Neural Networks

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Bilinear CNN Models for Fine-Grained Visual Recognition

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Simplifying Graph Convolutional NetworksPreprint

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Dilated Residual Networks

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Hierarchical Convolutional Features for Visual Tracking

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BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation

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DenseASPP for Semantic Segmentation in Street Scenes

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ICNet for Real-Time Semantic Segmentation on High-Resolution Images

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Deep Layer Aggregation

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Context Encoding for Semantic Segmentation

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Attention to Scale: Scale-Aware Semantic Image Segmentation

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The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes

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Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks

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HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

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Instance-Aware Semantic Segmentation via Multi-task Network Cascades

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Instance-aware Semantic Segmentation via Multi-task Network Cascades

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Mask R-CNNPreprint

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PointRend: Image Segmentation As Rendering

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Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation

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Cascaded Partial Decoder for Fast and Accurate Salient Object Detection

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Siamese Instance Search for Tracking

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Deeply Supervised Salient Object Detection with Short Connections

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Attentional Feature Fusion

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DeepCrack: A deep hierarchical feature learning architecture for crack segmentation

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