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Deep Residual Learning for Image Recognition
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Topics
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Introduction
Residual Learning Framework
Experiments
Applications
Discussion
Introduction
Introduction
1. Introduction to Deep Residual Learning
Introduction
2. Degradation Problem in Deep Networks
Introduction
3. Residual Learning via Identity Mapping
Introduction
4. Mathematical Formulation of Identity Mapping
Introduction
5. Role of Shortcut Connections in Residual Networks
Introduction
6. Implementation of Identity Shortcuts
Residual Learning Framework
Residual Learning Framework
7. Residual Function Formulation
Residual Learning Framework
8. Shortcut Connections in Residual Learning
Experiments
Experiments
9. Training Deep Residual Networks
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Experiments
10. Improved Accuracy on ImageNet
Experiments
11. Benefits on CIFAR-10 Dataset
Applications
Applications
12. Applications in Object Detection
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Applications
13. Object Detection Results
Discussion
Discussion
14. Impact of Shortcut Connections
Deep Residual Learning for Image Recognition