• A Relation-Augmented Fully Convolutional Network for Semantic Segmentationin Aerial Scenes
• 3D Graph Neural Networks for RGBD Semantic Segmentation
• Decoders Matter for Semantic Segmentation:Data-Dependent Decoding Enables Flexible Feature Aggregation
• FickleNet: Weakly and Semi-supervised Semantic Image Segmentationusing Stochastic Inference
• Understand Convolution for Semantic Segmentation
• DenseASPP for Semantic Segmentation in Street Scenes
• Dilated Residual Networks
• Dual Attention Network for Scene Segmentation
• Context Encoding for Semantic Segmentation
• Adaptive Affinity Fields for Semantic Segmentation
• Superpixel Sampling Networks
• FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation
• Large Kernel Matters —— Improve Semantic Segmentation by Global Convolutional Network
• LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
• Learning a Discriminative Feature Network for Semantic Segmentation
• StructToken: Rethinking Semantic Segmentation with Structural Prior
• Gated Feedback Refinement Network for Dense Image Labeling
• Semi-convolutional Operators forInstance Segmentation
• Dynamic Filtering with Large Sampling Field for ConvNets
• Dynamic Filter Networks
• Dynamic Filters for Semantic Segmentation
• Depth与Convolution
• Segmenting Transparent Objects in the Wild
• Conditional Convolutions for Instance Segmentation
• SegFix: Model-Agnostic Boundary Refinement for Segmentation
• Dual Super-Resolution Learning for Semantic Segmentation
• 使用bi-directional propagation来获取全局上下文
• Towards Enhancing Fine-grained Details for Image Matting
• U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
• Dense Prediction with Attentive Feature Aggregation