I want to detect the location of a single class of object, which might occur multiple times in an image. Specifically, this relates to research on detecting brake lights for autonomous vehicles. I imagine similar techniques could be used to detect all faces for security applications, or balls for robot soccer, or a specific type of cancer or...
At the moment I am considering retraining a YOLO9000 or SSD network, as both have the necessary real-time performance to run 30fps. However, I'm assuming that at least some of their capacity is dedicated to features I don't need
- classification across a wide range of classes
- detecting whether something is an object or not for any of these classes
Since my problem is much simpler, I wondered whether there are any network architectures which have specialised on the localisation task?
I have found similar questions, but in both cases the question I want an answer to was mixed up with a secondary question and didn't give the answer I was looking for. I'd be happy to close as a dupe if one of these gets a better answer:
I did learn one helpful thing from those questions: trying to detect a single class is actually differentiating between 2 classes - objects I want to detect and background/everything else.