ESC-Net combines CLIP with pre-trained SAM decoder blocks fed by pseudo prompts from image-text correlations to reach state-of-the-art open-vocabulary segmentation on three major benchmarks.
Cat- seg: Cost aggregation for open-vocabulary semantic seg- mentation
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Effective SAM Combination for Open-Vocabulary Semantic Segmentation
ESC-Net combines CLIP with pre-trained SAM decoder blocks fed by pseudo prompts from image-text correlations to reach state-of-the-art open-vocabulary segmentation on three major benchmarks.