行人检测--What Can Help Pedestrian Detection?
What Can Help Pedestrian Detection? CVPR2017 本文主要分析 extra features 对于 基于CNN 的行人检测有什么帮助，设计了一个行人检测网络 HyperLearner 可以有效利用这些 extra features 这里的 extra features 主要指 various channel features 行人检测中存在什么问题了？ 一个
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- 1. 【论文解读】行人检测：What Can Help Pedestrian Detection?（CVPR'17）
- 2. 【行人检测】High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection/CSP
- 3. 行人检测综述
- 4. 人检测 Is Faster R-CNN Doing Well for Pedestrian Detection?
- 5. 行人检测：Is Faster R-CNN Doing Well for Pedestrian Detection？论文笔记
- 6. 2019 ICIP之多光谱行人检测：UNPAIRED CROSS-SPECTRAL PEDESTRIAN DETECTION VIA ADVERSARIAL FEATURE LEARNING
- 7. 2019 ICCV之多光谱行人检测：Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection
- 8. 2019PR之RGBT行人检测：Illumination-aware faster R-CNN for robust multispectral pedestrian detection
- 9. Caltech Pedestrian Detection Benchmark
- 10. Wider Pedestrian行人检测数据集初步分析
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相关文章
- 1. 【论文解读】行人检测：What Can Help Pedestrian Detection?（CVPR'17）
- 2. 【行人检测】High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection/CSP
- 3. 行人检测综述
- 4. 人检测 Is Faster R-CNN Doing Well for Pedestrian Detection?
- 5. 行人检测：Is Faster R-CNN Doing Well for Pedestrian Detection？论文笔记
- 6. 2019 ICIP之多光谱行人检测：UNPAIRED CROSS-SPECTRAL PEDESTRIAN DETECTION VIA ADVERSARIAL FEATURE LEARNING
- 7. 2019 ICCV之多光谱行人检测：Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection
- 8. 2019PR之RGBT行人检测：Illumination-aware faster R-CNN for robust multispectral pedestrian detection
- 9. Caltech Pedestrian Detection Benchmark
- 10. Wider Pedestrian行人检测数据集初步分析