Search Results for author:
Found 4 papers, 3 papers with code
Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection
These inaccurate high-scoring region proposals will mislead the training of subsequent refinement modules and thus hamper the detection performance.
Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation
This study introduces an efficacious approach, Masked Collaborative Contrast (MCC), to highlight semantic regions in weakly supervised semantic segmentation.
Contrastive Learning
Weakly supervised Semantic Segmentation
+1
Recurrent Generic Contour-based Instance Segmentation with Progressive Learning
It maintains a single estimate of the contour that is progressively deformed toward the object boundary.
Ranked #1 on
Semantic Contour Prediction
on Sbd val
Dual Decision Improves Open-Set Panoptic Segmentation
Then we distinguish the "unknown things" from the background by using the additional object prediction head.
