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[FCN] Fully Convolutional Networks for Semantic Segmentation [CVPR' 15]
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[SegNet] A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation [TPAMI' 17]
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[DeconvNet] Learning Deconvolution Network for Semantic Segmentation
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[ENet] A Deep Neural Network Architecture for Real-Time Semantic Segmentation
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UNet系列
- [U-Net] U-Net: Convolutional Networks for Biomedical Image Segmentation [MICCAI' 15]
- [U-Net++] UNet++: A Nested U-Net Architecture for Medical Image Segmentation [DLMIA' 18]
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Deeplab系列
- [DeeplabV1] Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- [DeepLabV2] DeepLab-v2: Semantic Image Segmentation
- [DeepLabV3] Rethinking Atrous Convolution for Semantic Image Segmentation
- [DeepLabV3+] Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
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[PSPNet] Pyramid Scene Parsing Network [CVPR' 17]
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[RefineNet] RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation [CVPR' 17]
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Large Kernel Matters–Improve Semantic Segmentation by Global Convolutional Network [ICCV' 17]
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[CCNet] CCNet: Criss-Cross Attention for Semantic Segmentation [ICCV' 19]
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[BiSeNet] BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation [ECCV' 18]
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[ICNet] ICNet for Real-Time Semantic Segmentation on High-Resolution Images [ECCV' 18]
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Graph-guided Architecture Search for Real-time Semantic Segmentation
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[Mask R-CNN] Mask R-CNN [ICCV' 17]
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[PANet] Path Aggregation Network for Instance Segmentation [CVPR' 18]
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[HTC] Hybrid Task Cascade for Instance Segmentation [CVPR' 19]
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[MS R-CNN] Mask Scoring R-CNN [CVPR' 19]
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Learning to Segment Every Thing [CVPR' 18]
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TensorMask: A Foundation for Dense Object Segmentation
- [UPSNet] UPSNet: A Unified Panoptic Segmentation Network [CVPR' 19]
- [CE2P] Devil in the Details: Towards Accurate Single and Multiple Human Parsing
- [ACE2P] Augmented Context Embedding with Edge Perceiving