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REBASE: Reference-Background Subspace Elimination for Training-Free In-Context Segmentation

22 upvotes · 10 JUL 2026 · Mantha Sai Gopal, Jaison Saji Chacko, Harsh Nandwana et al.

This paper introduces a new method called REBASE that allows for training-free in-context segmentation, enabling the introduction of new object categories at inference time. Practitioners might care because it eliminates the need for retraining and reduces memory overhead, making it a more efficient approach for real-world applications.

continual learningin-context learningreference-based methodssegmentationsubspace elimination