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  4. Unsupervised Semantic Segmentation With 10

Unsupervised Semantic Segmentation With 10

评估指标

mIoU

评测结果

各个模型在此基准测试上的表现结果

模型名称
mIoU
Paper TitleRepository
CLS-SEG35.3TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training-
ProxyCLIP39.2ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation-
TagAlign33.3TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification-
Trident42.2Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation-
TCL31.6Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs-
COSMOS ViT-B/1631.3COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training-
TTD (TCL)37.4TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias-
TTD (MaskCLIP)26.5TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias-
MaskCLIP20.6Extract Free Dense Labels from CLIP-
GroupViT (RedCaps)27.5GroupViT: Semantic Segmentation Emerges from Text Supervision-
ReCo15.7ReCo: Retrieve and Co-segment for Zero-shot Transfer-
0 of 11 row(s) selected.
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