Faster R-CNN – faster region proposal network-based CNN

We saw in the earlier section that Fast R-CNN brought down the time required for scoring (testing) images drastically, but the reduction ignored the time required for generating Region Proposals, which use a separate mechanism (though pulling from the convolution map from CNN) and continue proving a bottleneck. Also, we observed that though all three challenges were resolved using the common features from convolution-map in Fast R-CNN, they were using different mechanisms/models.

Faster R-CNN improves upon these drawbacks and proposes the concept of Region Proposal Networks (RPNs), bringing down the scoring (testing) time to 0.2 seconds per image, even including time for Region Proposals.

Note

Fast R-CNN was doing the scoring (testing) in 0.3 seconds per image, that too excluding the time required for the process equivalent to Region Proposal.

Faster R-CNN: Working - The Region Proposal Networking acting as Attention Mechanism

As shown in...