OpenCodePapers

unsupervised-semantic-segmentation-with-11

Semantic SegmentationUnsupervised Semantic SegmentationUnsupervised Semantic Segmentation with Language-image Pre-training
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PaperCodemIoUModelNameReleaseDate
CorrCLIP: Reconstructing Correlations in CLIP with Off-the-Shelf Foundation Models for Open-Vocabulary Semantic Segmentation✓ Link76.7CorrCLIP2024-11-15
TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models✓ Link73.1TextRegion2025-05-29
Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation✓ Link70.8Trident2024-11-14
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training✓ Link68.7CLS-SEG2023-12-20
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation✓ Link65.0ProxyCLIP2024-08-09
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias✓ Link61.1TTD (TCL)2024-03-30
Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs✓ Link55.0TCL2022-12-01
TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification✓ Link53.9TagAlign2023-12-21
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias✓ Link43.1TTD (MaskCLIP)2024-03-30
Extract Free Dense Labels from CLIP✓ Link29.3MaskCLIP2021-12-02
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