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HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
時間 2020-12-30
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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
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(41)[NIPS15] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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