車道線-論文閱讀: Learning Lightweight Lane Detection CNNs by Self Attention Distillation

時間 2021-08-15

標籤論文閱讀简体版

原文原文鏈接

ICCV2019 code: https://github.com/cardwing/Codes-for-Lane-Detection paper: https://arxiv.org/abs/1908.00821 Abstract present a novel knowledge distillation approach, i.e., Self Attention Distillation

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1. #每天一篇論文#（212/365）Learning Lightweight Lane Detection CNNs by Self Attention Distillation
2. knowledge distillation論文閱讀之：Learning from a Lightweight Teacher for Efficient Knowledge Distillation
3. 【Papers】Robust Lane Detection via Expanded Self Attention 論文解讀
4. Knowledge Distillation論文閱讀（2）：Learning Efficient Object Detection Models with Knowledge Distillation
5. ICCV 2019 論文速讀
6. 【論文讀後感】《Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised》
7. 論文解讀Ultra Fast Structure-aware Deep Lane Detection
8. 車道線檢測論文閱讀：Towards End-to-End Lane Detection: an Instance Segmentation Approach
9. 車道線檢測分類--Lane Detection and Classification using Cascaded CNNs
10. 《Lightweight Image Super-Resolution with Information Multi-distillation Network》論文閱讀
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1. #每天一篇論文#（212/365）Learning Lightweight Lane Detection CNNs by Self Attention Distillation
2. knowledge distillation論文閱讀之：Learning from a Lightweight Teacher for Efficient Knowledge Distillation
3. 【Papers】Robust Lane Detection via Expanded Self Attention 論文解讀
4. Knowledge Distillation論文閱讀（2）：Learning Efficient Object Detection Models with Knowledge Distillation
5. ICCV 2019 論文速讀
6. 【論文讀後感】《Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised》
7. 論文解讀Ultra Fast Structure-aware Deep Lane Detection
8. 車道線檢測論文閱讀：Towards End-to-End Lane Detection: an Instance Segmentation Approach
9. 車道線檢測分類--Lane Detection and Classification using Cascaded CNNs
10. 《Lightweight Image Super-Resolution with Information Multi-distillation Network》論文閱讀

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