Faster R-CNN and 4-step Alternating Training

1. What are the drawbacks of faster R-CNN?
2. Is Fast R-CNN different than fast R-CNN?
3. What is fast R-CNN speed?

What are the drawbacks of faster R-CNN?

Drawbacks. One drawback of Faster R-CNN is that the RPN is trained where all anchors in the mini-batch, of size 256, are extracted from a single image. Because all samples from a single image may be correlated (i.e. their features are similar), the network may take a lot of time until reaching convergence.

Is Fast R-CNN different than fast R-CNN?

This is the basic difference between the Fast R-CNN and Faster R-CNN. Faster R-CNN uses a region proposal method to create the sets of regions. Faster R-CNN possesses an extra CNN for gaining the regional proposal, which we call the regional proposal network.

What is fast R-CNN speed?

The most accurate single model use Faster R-CNN using Inception ResNet with 300 proposals. It runs at 1 second per image.