HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
文章地址：点击打开链接 本文是region-based object detection framework。相比与faster rcnn，hypernet更擅长处理小物体，并且产生更高质量的proposal。 整体的框架见下图： Network for Hyper Feature Extraction: RCNN之后的framework在做小物体检测时有一个通病，就是物体的的信息会损失的非常厉害
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相关文章
- 1. HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
- 2. Joint 3D Proposal Generation and Object Detection from View Aggregation论文学习
- 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. （动工中）论文梳理 —— Joint 3D Proposal Generation and Object Detection from View Aggregation
- 8. 论文笔记：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论文笔记
- 10. (41)[NIPS15] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks