HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
論文地址：http://arxiv.org/pdf/1604.00600.pdf 核心思想： HyperNet：HyperNet網絡基於設計的Hyper特徵，這種特徵主要先集合分等級的特徵圖，然後將其壓縮到一個空間。這種Hyper特徵同時具有足夠深和很好的語義信息，在PASCAL VOC 2007和2012上可以通過每張圖產生僅僅100個proposal，而達到很好的精度和效果，同時可以達到實時，
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相關文章
- 1. HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
- 2. Joint 3D Proposal Generation and Object Detection from View Aggregation論文學習
- 3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- 4. 【Faster RCNN】《Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks》
- 5. Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
- 6. HyperNet, RON, FPN
- 7. （動工中）論文梳理 —— Joint 3D Proposal Generation and Object Detection from View Aggregation
- 8. 論文筆記：Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- 9. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks論文筆記
- 10. (41)[NIPS15] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks