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Keyword: training speed ×Clear all

2 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Fast R-CNN

   Girshick · arXiv (Cornell University) · 2015

   The paper proposes Fast R-CNN, an object detection method that classifies object proposals with deep convolutional networks, with faster training and testing and higher accuracy than earlier methods.

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   1. UncheckedFast R-CNN trains the deep VGG16 network 9 times faster than R-CNN, tests 213 times faster, and scores a higher mAP on PASCAL VOC 2012.“Fast R-CNN trains the very deep VGG16 network 9x faster than R-CNN, is 213x faster at test-time, and achieves a higher mAP on PASCAL VOC 2012.”
   2. UncheckedFast R-CNN is reported to train the VGG16 network 3x faster than SPPnet, test 10x faster, and detect objects more accurately.“Compared to SPPnet, Fast R-CNN trains VGG16 3x faster, tests 10x faster, and is more accurate.”