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Open Vocabulary Semantic Segmentation On
Metrics
mIoU
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| FC-CLIP | 56.2 | Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP | |
| SimSeg | 34.5 | A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model | |
| TTD (TCL) | 32.0 | TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias | |
| CLIP Surgery (CLIP without any fine-tuning) | 31.4 | A Closer Look at the Explainability of Contrastive Language-Image Pre-training | |
| TTD (MaskCLIP) | 27.0 | TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias |
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