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Yes, it is not specified because the region proposal algorithm did not change from R-CNN (the previous version from Fast R-CNN, however, in the next verion, Faster R-CNN, this algorithm is replaced by a CNN). The region proposal algorithm you are looking for is called selective search. You can find in the R-CNN paper that the algorithm is described in "...


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As you ask, "in general...", I will answer generally, however this changes a lot from model to model and the way they handle close objects. In general, yes, they would do a poor job detecting very close objects, switch to segmentation models for that (for class or better, instance segmentation). In general, objects detectors learn to tell an object ...


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The paper referenced by Martin Thoma is the go-to for semantic segmentation. However I will also like to add the Panoptic Segmentation metric as an aggregated method to measure both the detection task and segmentation task of the model. It is a very well-known and widely used metric since it is the standard metric for COCO dataset (segmentation) This is the ...


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