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

Paper Explanation: Rich feature hierarchies for accurate object detection and semantic segmentation (R-CNN)

To what extent do the CNN classification generalise to object detection? Object detection is the task of finding the different objects in an image and classifying them (as seen in the image above). This paper is the first to show that a CNN can lead to dramatically higher object detection performance Let’s now take a moment … Continue reading Paper Explanation: Rich feature hierarchies for accurate object detection and semantic segmentation (R-CNN)