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Unsupervised Semantic Segmentation With 8

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

Paper TitleRepository
Trident44.3Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation
ProxyCLIP39.6ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation
TagAlign37.6TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification
TTD (TCL)37.4TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias
TCL33.9Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs
COSMOS ViT-B/1633.7COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
TTD (MaskCLIP)31.0TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias
MaskCLIP26.4Extract Free Dense Labels from CLIP
GroupViT (RedCaps)23.4GroupViT: Semantic Segmentation Emerges from Text Supervision
ReCo22.3ReCo: Retrieve and Co-segment for Zero-shot Transfer
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Unsupervised Semantic Segmentation With 8 | SOTA | HyperAI超神经