个人所读论文的记录,里面肯定包含错误的理解,欢迎指出,感谢指出。
下述的(*推荐)代表推荐此论文,并不是指写的总结
- Learning Deep Features for Discriminative Localization
- Unsupervised Image-to-Image Translation Networks
- Holistically-Nested Edge Detection
- Deeply supervised salient object detection with short connections
- Richer Convolutional Features for Edge Detection
- Non-Local Deep Features for Salient Object Detection
- Learning to Detect Salient Objects with Image-level Supervision (*推荐)
+.+:20180107和20180108打酱油去了....
- Fully Convolutional Networks for Semantic Segmentation
- Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs) (似乎同一篇,但更详细的版本:DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs)
- Attention to Scale: Scale-aware Semantic Image Segmentation
- Semantic Image Segmentation via Deep Parsing Network (*推荐)
- Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
- Deep, Dense, and Low-Rank Gaussian Conditional Random Fields
+.+:201801012和20180113又打酱油去了....(泪崩)
- Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
- Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection
- Dilated Residual Networks & Multi-Scale Context Aggregation by Dilated Convolutions
- Learning Affinity via Spatial Propagation Networks (*推荐)
- Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
- Deep Level Sets for Salient Object Detection
s