search

facebookresearch / CutLER

Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"
Other
935 stars 91 forks source link

Zero-shot detection evaluation #8

Closed chaos1992 closed 1 year ago

chaos1992 commented 1 year ago

Thanks for your great work. I have a confusion about the zero-shot evaluation. In the 'cascade_mask_rcnn_R_50_FPN.yaml' config file, ROI_HEADS.NUM_CLASSES is setted to 1, so CutLER only can distinguish the foreground objects and background objects. However, such as in COCO dataset, there are 80 different classes, how CutLER compute the AP50 metric in zero-shot?

hetavv commented 1 year ago

Could anyone confirm if my understand of Zero-shot detection is correct or not? My understanding is all the objects are assigned a singular label, say "object" and then treat the detected bounding boxes with label "object" and keep it similar in the ground truth as well? Thanks