raoyongming / DenseCLIP

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
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A stupid question about auxiliary loss for Object detection & instance segmentation. #26

Closed waxnkw closed 1 year ago

waxnkw commented 1 year ago

The paper said, "we do not have ground truth segmentation label.". I can understand there is no segmentation mask for detection, but why is there no segmentation mask for instance segmentation task?

raoyongming commented 1 year ago

Hi @waxnkw, thanks for your interest in our work. Here we want to say we don't have ground truth segmentation labels like semantic segmentation. For COCO, we cannot assign labels to the background regions if we only use the instance segmentation labels.

waxnkw commented 1 year ago

Thanks, so is the BCE loss applied to distinguish foreground objects and background?

raoyongming commented 1 year ago

We generate the segmentation mask using the bounding boxes or instance mask labels. We assign the corresponding labels for the foreground objects and set the rest regions as the background.

waxnkw commented 1 year ago

Thanks!