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Open-vocabulary segmentation can achieve spatially coherent and context-aware predictions without any training, thanks to SCI-CLIP's innovative use of a segment-centric inference framework.
Achieve SOTA zero-shot segmentation by simply fusing two CLIP branches, one focusing on local token reliability and the other on structural priors, all without training.
