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.
The pascal visual object classes (voc) challenge.International journal of computer vision (IJCV), 88(2):303–338
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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.