The approach uses the analytic solution of distribution discrepancy consistency within categories as semantic maps, eliminating training and model-specific modulation while claiming state-of-the-art results on eight benchmarks.
Relation- ship prompt learning is enough for open-vocabulary seman- tic segmentation.Advances in Neural Information Process- ing Systems, 37:74298–74324, 2024
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Direct Segmentation without Logits Optimization for Training-Free Open-Vocabulary Semantic Segmentation
The approach uses the analytic solution of distribution discrepancy consistency within categories as semantic maps, eliminating training and model-specific modulation while claiming state-of-the-art results on eight benchmarks.