Real-Time Pedestrian Detection With Deep Network Cascades
BMVC 2015 實時行人檢測 Cascades + CNNweb 本文主要是參考文獻【4】中採用 soft-cascade ，並結合不一樣複雜度的CNN網絡獲得即快又準的行人檢測系統。網絡 在 Cascades 前面咱們使用下面的小網絡： svg 在 Cascades 後面咱們使用下面的大網絡： ui we employ the soft-cascade from Benenson et al
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相關文章
- 1. Real-Time Pedestrian Detection with Deep Network Cascades
- 2. Crosstalk Cascades for Frame-Rate Pedestrian Detection 閱讀筆記
- 3. Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
- 4. Pushing the Limits of Deep CNNs for Pedestrian Detection
- 5. Caltech Pedestrian Detection Benchmark
- 6. CUHK Occlusion Dataset (for pedestrian detection)
- 7. Deep Saliency:Multi_Task Deep Neural Network Model for Salient object detection
- 8. 【opencv】Face Detection using Haar Cascades
- 9. 【論文筆記】Malware Detection with Deep Neural Network Using Process Behavior
- 10. Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection