OV-Stitcher improves training-free open-vocabulary semantic segmentation by stitching sub-image features to enable global attention in the final encoder block, raising mIoU from 48.7 to 50.7 across eight benchmarks.
Corrclip: Re- constructing patch correlations in clip for open-vocabulary semantic segmentation.Proceedings of the International Con- ference on Computer Vision (ICCV), 2025
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OV-Stitcher: A Global Context-Aware Framework for Training-Free Open-Vocabulary Semantic Segmentation
OV-Stitcher improves training-free open-vocabulary semantic segmentation by stitching sub-image features to enable global attention in the final encoder block, raising mIoU from 48.7 to 50.7 across eight benchmarks.