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SOTA
Open Vocabulary Semantic Segmentation
Open Vocabulary Semantic Segmentation On
Open Vocabulary Semantic Segmentation On
Metrics
mIoU
Results
Performance results of various models on this benchmark
Columns
Model Name
mIoU
Paper Title
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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Open Vocabulary Semantic Segmentation On | SOTA | HyperAI