车道线-论文阅读: Learning Lightweight Lane Detection CNNs by Self Attention Distillation

时间 2021-08-15

标签论文阅读繁體版

原文原文链接

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. #每天一篇论文#（212/365）Learning Lightweight Lane Detection CNNs by Self Attention Distillation
2. knowledge distillation论文阅读之：Learning from a Lightweight Teacher for Efficient Knowledge Distillation
3. 【Papers】Robust Lane Detection via Expanded Self Attention 论文解读
4. Knowledge Distillation论文阅读（2）：Learning Efficient Object Detection Models with Knowledge Distillation
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6. 【论文读后感】《Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised》
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9. 车道线检测分类--Lane Detection and Classification using Cascaded CNNs
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1. #每天一篇论文#（212/365）Learning Lightweight Lane Detection CNNs by Self Attention Distillation
2. knowledge distillation论文阅读之：Learning from a Lightweight Teacher for Efficient Knowledge Distillation
3. 【Papers】Robust Lane Detection via Expanded Self Attention 论文解读
4. Knowledge Distillation论文阅读（2）：Learning Efficient Object Detection Models with Knowledge Distillation
5. ICCV 2019 论文速读
6. 【论文读后感】《Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised》
7. 论文解读Ultra Fast Structure-aware Deep Lane Detection
8. 车道线检测论文阅读：Towards End-to-End Lane Detection: an Instance Segmentation Approach
9. 车道线检测分类--Lane Detection and Classification using Cascaded CNNs
10. 《Lightweight Image Super-Resolution with Information Multi-distillation Network》论文阅读

>>更多相关文章<<