A Lightweight YOLOv2: A Binarized CNN with A Parallel Support Vector Regression for an FPGA

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0. 論文

Hiroki Nakahara, Haruyoshi Yonekawa, Tomoya Fujii, Shimpei Sato

https://www.researchgate.net/publication/323375650_A_Lightweight_YOLOv2_A_Binarized_CNN_with_A_Parallel_Support_Vector_Regression_for_an_FPGA

SlideShare https://www.slideshare.net/HirokiNakahara1/fpga2018-a-lightweight-yolov2-a-binarized-cnn-with-a-parallel-support-vector-regression-for-an-fpga Qiita https://qiita.com/harmegiddo/items/432b7bf31d2d68408216

1. どんなもの？

2. 先行研究と比べてどこがすごい？

3. 技術や手法のキモはどこ？

4. どうやって有効だと検証した？

5. 議論はある？

6. 次に読むべき論文は？