Light-Head R-CNN: In Defense of Two-Stage Object Detector

Light-Head R-CNN: A faster, smarter way to find things in pictures

For years, detectors that looked at images in two steps were great at spotting objects but felt slow.
They did lots of heavy work in the network “head”, which made them lag behind fast single-step systems.
Researchers now built a new design called Light-Head R-CNN that trims that extra work so the last part of the model is tiny and simple.
By using a thin feature map and a cheap subnet it keeps things quick and still finds objects well.
The result brings big wins in both speed and accuracy, without needing huge models.
Swap the brain for a small one, like a tiny network, and it still runs way faster than before while keeping sharp results, so it beat many fast detectors on both time and quality.
The idea feels practical, code will be shared so anyone can try it.
It's simple to switch, and you gets big gains, try it and see how quick object detection can be now

Read article comprehensive review in Paperium.net:
Light-Head R-CNN: In Defense of Two-Stage Object Detector

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