2 papers
cs.CV2026
REBASE: Reference-Background Subspace Elimination for Training-Free In-Context Segmentation
Mantha Sai Gopal, Jaison Saji Chacko, Harsh Nandwana +3
Training-free in-context segmentation enables new object categories to be introduced at inference time from a single annotated reference image, eliminating the retraining and memor…
cs.CV2026
GenSeg-R1: RL-Driven Vision-Language Grounding for Fine-Grained Referring Segmentation
Sandesh Hegde, Jaison Saji Chacko, Debarshi Banerjee +1
We study fine-grained referring image segmentation via a decoupled reason-then-segment pipeline. A vision-language model (VLM) receives an image and a natural-language query, reaso…