Coreset Selection for Object Detection

arXiv:2404.09161v1 Announce Type: cross
Abstract: Coreset selection is a method for selecting a small, representative subset of an entire dataset. It has been primarily researched in image classification, assuming there is only one object per image. However, coreset selection for object detection is more challenging as an image can contain multiple objects. As a result, much research has yet to be done on this topic. Therefore, we introduce a new approach, Coreset Selection for Object Detection (CSOD). CSOD generates imagewise …

abstract arxiv classification cs.cv cs.lg dataset detection however image multiple object objects per small type