Showing 2026Show all
2 papers · 1 filter
cs.CV2026
SARFA: Segment Anything with Radiomic Feature Alignment
Tyler Ward, Abdullah Imran
The Segment Anything Model (SAM) has demonstrated strong generalizability across a variety of segmentation tasks. However, SAM often struggles in situations where the target to be…
cs.CV2026
Self-Supervised Visual Representation Learning: Pretrain-Finetuning or Joint Training?
Nusrat Munia, Tyler Ward, Nishat Nayla +2
Self-supervision is a powerful technique for learning visual representations from unlabeled data. Existing techniques primarily adopt a two-stage approach for self-supervised learn…