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cs.CV2026
SCI-CLIP: Segment-Centric Inference with Reference Memory for Training-Free Open-Vocabulary Segmentation
Mohamad Zamini, Diksha Shukla
Training-free open-vocabulary segmentation remains limited by a missing inference abstraction. Frozen vision-language features are produced at patch level, yet dense prediction req…
cs.CV2026
DouC: Dual-Branch CLIP for Training-Free Open-Vocabulary Segmentation
Mohamad Zamini, Diksha Shukla
Open-vocabulary semantic segmentation requires assigning pixel-level semantic labels while supporting an open and unrestricted set of categories. Training-free CLIP-based approache…