OpenCodePapers

unsupervised-semantic-segmentation-with-10

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✓ Link49.4CorrCLIP2024-11-15
Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation✓ Link42.2Trident2024-11-14
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation✓ Link39.2ProxyCLIP2024-08-09
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias✓ Link37.4TTD (TCL)2024-03-30
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training✓ Link35.3CLS-SEG2023-12-20
TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification✓ Link33.3TagAlign2023-12-21
Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs✓ Link31.6TCL2022-12-01
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training✓ Link31.3COSMOS ViT-B/162024-12-02
GroupViT: Semantic Segmentation Emerges from Text Supervision✓ Link27.5GroupViT (RedCaps)2022-02-22
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias✓ Link26.5TTD (MaskCLIP)2024-03-30
Extract Free Dense Labels from CLIP✓ Link20.6MaskCLIP2021-12-02
ReCo: Retrieve and Co-segment for Zero-shot Transfer✓ Link15.7ReCo2022-06-14
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