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tl;dr / one line summary
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Region Mutual Information Loss for Semantic Segmentation
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- 1 tl;dr / one line summary
- 2 Sections
- 3 Semantic Segmentation
- 4 Key Idea: "convolutional-ization"
- 5 Key Idea: Encoder-decoder architecture
- 6 Key Idea #1: Convolutionalization with "à trous convolutions"
- 7 Key Idea #2: CRF Post-Processing
- 8 Key Idea: Multi-Scale Features
- 9 Key Idea: Deeper with à trous convolutions
- 10 Key Idea: À trous Spatial Pyramid Pooling
- 11 DeepLabv3+: Failure Cases
- 12 Motivation for Region Mutual Information Loss
- 13 Mutual Information: Entropy View
- 14 Mutual Information: Probability View
- 15 Overall Loss Function
- 16 Experimental Setup
- 17 Datasets
- 18 Results: PASCAL VOC 2012
- 19 Ablation Studies: PASCAL VOC 2012
