R-CNN

[aidiary]

trafficstars

Region-CNN 物体検出

http://cs231n.stanford.edu/slides/winter1516_lecture8.pdf https://www.researchgate.net/post/In_Keras_How_can_I_extract_the_exact_location_of_the_detected_object_or_objects_within_image_that_includes_a_background

r-cnn fast r-cnn faster r-cnn

• https://papers.nips.cc/paper/5638-faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks.pdf
• http://tech-blog.abeja.asia/entry/object-detection-summary
• http://kivantium.hateblo.jp/entry/2015/12/25/112145
• http://qiita.com/Almond/items/7850cf81903fbe2a2c6c
• BING http://qiita.com/Almond/items/ad56ce29112d6397a704
• http://qiita.com/Almond/items/a85b77fb98df11aa9cbe#_reference-83ce9060a918a251c4bf
• chainer faster-rcnn https://github.com/mitmul/chainer-faster-rcnn
• https://github.com/rbgirshick/py-faster-rcnn
• https://github.com/fchollet/keras/issues/2469
• http://lang.sist.chukyo-u.ac.jp/classes/ML/contents.html

YOLO

-https://github.com/sunshineatnoon/Darknet.keras

• http://qiita.com/ashitani/items/e07426a2647b947b9fca