Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Casca
參考：https://blog.csdn.net/bea_tree/article/details/51880175 Abstract 本文的兩個創新點： (1)SDP:scale-dependent pooling,根據candinate object proposals的尺度，去不同的特徵層上來提取特徵。類似SSD (2)CRC:cascaded rejection classifers
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相關文章
- 1. Exploit All the Layers: Fast and Accurate CNN Object Detector with SDP and CRC
- 2. 論文SDP + RCNN | Exploit All the Layers: Fast and Accurate CNN Object Detector with SDP and CRC
- 3. Semantic Flow for Fast and Accurate Scene Parsing
- 4. Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomo
- 5. [論文解讀]Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty
- 6. 論文：Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomo
- 7. Fast and accurate short read alignment with Burrows-Wheeler transform
- 8. HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
- 9. Scale-Transferrable Object Detection
- 10. CNN 1.9 Pooling Layers