X. Nguyễn

SAM-Anchored DINOv3 Soft Calibration for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation (WSSS) aims to train dense prediction models from inexpensive supervision such as image-level labels. Recent foundation models provide complementary capabilities: promptable segmentation models can produce high-coverage object masks, while self-supervised vision transformers prov...