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Summary of Contributions
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Classroom Contents
Interpretable Representation Learning for Visual Intelligence
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- 1 Intro
- 2 Deep Neural Networks for Object Classification
- 3 Interpretability of Deep Neural Networks
- 4 Thesis Outline
- 5 Object Classification vs. Scene Recognition
- 6 Visualizing Units
- 7 Related Work on Network Visualization
- 8 Annotating the Interpretation of Units
- 9 Interpretable Representations for Objects and Scenes
- 10 Evaluate Unit for Semantic Segmentation
- 11 IMAGENET Pretrained Network
- 12 Class Activation Mapping: Explain Prediction of Deep Neural Network
- 13 Evaluation on Weakly-Supervised Localization
- 14 Explaining the Failure Cases in Video
- 15 Interpreting Medical Models
- 16 Summary of Contributions
- 17 Temporal Relational Networks for Event Recognition
- 18 Acknowledgement
