- 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