OpenCodePapers

unsupervised-semantic-segmentation-with-9

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✓ Link34.0CorrCLIP2024-11-15
TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models✓ Link31.2TextRegion2025-05-29
Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation✓ Link28.6Trident2024-11-14
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation✓ Link26.8ProxyCLIP2024-08-09
TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification✓ Link25.3TagAlign2023-12-21
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias✓ Link23.7TTD (TCL)2024-03-30
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training✓ Link23.2COSMOS ViT-B/162024-12-02
Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs✓ Link22.4TCL2022-12-01
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias✓ Link19.4TTD (MaskCLIP)2024-03-30
Extract Free Dense Labels from CLIP✓ Link16.4MaskCLIP2021-12-02
ReCo: Retrieve and Co-segment for Zero-shot Transfer✓ Link14.8ReCo2022-06-14
GroupViT: Semantic Segmentation Emerges from Text Supervision✓ Link11.1GroupViT2022-02-22