OpenCodePapers
unsupervised-semantic-segmentation-with-9
Semantic Segmentation
Unsupervised Semantic Segmentation
Unsupervised Semantic Segmentation with Language-image Pre-training
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Paper
Code
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ModelName
ReleaseDate
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CorrCLIP: Reconstructing Correlations in CLIP with Off-the-Shelf Foundation Models for Open-Vocabulary Semantic Segmentation
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34.0
CorrCLIP
2024-11-15
TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models
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31.2
TextRegion
2025-05-29
Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation
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28.6
Trident
2024-11-14
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation
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26.8
ProxyCLIP
2024-08-09
TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification
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25.3
TagAlign
2023-12-21
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias
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23.7
TTD (TCL)
2024-03-30
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
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23.2
COSMOS ViT-B/16
2024-12-02
Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs
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22.4
TCL
2022-12-01
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias
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19.4
TTD (MaskCLIP)
2024-03-30
Extract Free Dense Labels from CLIP
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16.4
MaskCLIP
2021-12-02
ReCo: Retrieve and Co-segment for Zero-shot Transfer
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14.8
ReCo
2022-06-14
GroupViT: Semantic Segmentation Emerges from Text Supervision
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11.1
GroupViT
2022-02-22