Faster R-CNN (2016)

Learn about the Faster R-CNN with the RPN network and anchors along with offset loss calculation.

Faster R-CNN is an improved version of Fast R-CNN architecture published only one year later. Even though Fast RCNN is way faster than RCNN, it’s still not a real-time object detector. Additionally, the classifier was changed to be a fully connected layer. But still, the selective search remains an external and independent module! Therefore, we can’t say Fast RCNN is an end-to-end unified and trainable network.

Faster RCNN touches on these two issues and publishes as the newest and best member of region-based convolutional neural networks.

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