Region Mutual Information Loss for Semantic Segmentation

Region Mutual Information Loss for Semantic Segmentation

UCF CRCV via YouTube Direct link

Mutual Information: Entropy View

13 of 19

13 of 19

Mutual Information: Entropy View

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Region Mutual Information Loss for Semantic Segmentation

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

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