A training-free framework that organizes CLIP-based dense prediction around segment-level region abstractions, reporting state-of-the-art mIoU on eight open-vocabulary segmentation benchmarks.
arXiv preprint arXiv:2603.23030 , year=
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SCI-CLIP: Segment-Centric Inference with Reference Memory for Training-Free Open-Vocabulary Segmentation
A training-free framework that organizes CLIP-based dense prediction around segment-level region abstractions, reporting state-of-the-art mIoU on eight open-vocabulary segmentation benchmarks.