GCLIP improves TF-OVSS by reshaping last-block attention via fusion of global-token block attention with Query-Query attention and applying channel suppression to Value embeddings, outperforming prior methods on five benchmarks.
Learn- ing to generate text-grounded mask for open-world semantic segmentation from only image-text pairs
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Rethinking the Global Knowledge of CLIP in Training-Free Open-Vocabulary Semantic Segmentation
GCLIP improves TF-OVSS by reshaping last-block attention via fusion of global-token block attention with Query-Query attention and applying channel suppression to Value embeddings, outperforming prior methods on five benchmarks.