Paper Explanation: Faster R-CNN Towards Real-Time Object Detection with Region Proposal Networks

What Led to Faster R-CNN? Even though networks like Fast R-CNN achieve a really high accuracy, they are very slow to be of practical use in real time. The reason for such slow speeds is the region proposal step in the architecture! Algorithms, like Selective Search (used in Fast R-CNN) take around 2 seconds per … Continue reading Paper Explanation: Faster R-CNN Towards Real-Time Object Detection with Region Proposal Networks

Paper Explanation: Fast R-CNN

Called Fast R-CNN because it's comparatively fast to train and test. Why Fast R-CNN? Even though R-CNN had achieved state of the art performance on object detection it had many problems: Slow at test-time due to independent forward passes of the CNN for each region proposal. The CNN doesn't get trained during the training of the … Continue reading Paper Explanation: Fast R-CNN