arXiv cs.LG
· Papers
Conformal Prediction Sets for Instance Segmentation
arXiv:2602.10045v2 Announce Type: replace-cross Abstract: Current instance segmentation models achieve high performance on average predictions, but lack principled uncertainty quantification: their outputs are not calibrated, and there is no guarantee that a predicted mask is close to the ground truth. To address this