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SotA/Computer Vision/Open Vocabulary Semantic Segmentation/PASCAL Context-459

Open Vocabulary Semantic Segmentation on PASCAL Context-459

Metric: mIoU (higher is better)

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#Model↕mIoU▼Extra DataPaperDate↕Code
1SILC25.8NoSILC: Improving Vision Language Pretraining with...2023-10-20-
2UMG-CLIP-E/1425.2NoUMG-CLIP: A Unified Multi-Granularity Vision Gen...2024-01-12Code
3MaskCLIP++23.9NoMaskCLIP++: A Mask-Based CLIP Fine-tuning Framew...2024-12-16Code
4CAT-Seg23.8NoCAT-Seg: Cost Aggregation for Open-Vocabulary Se...2023-03-21Code
5UMG-CLIP-L/1423.2NoUMG-CLIP: A Unified Multi-Granularity Vision Gen...2024-01-12Code
6Mask-Adapter22.7NoMask-Adapter: The Devil is in the Masks for Open...2024-12-05Code
7SED22.6NoSED: A Simple Encoder-Decoder for Open-Vocabular...2023-11-27Code
8MAFT+21.6NoCollaborative Vision-Text Representation Optimiz...2024-08-01Code
9EBSeg-L21NoOpen-Vocabulary Semantic Segmentation with Image...2024-06-14Code
10FC-CLIP18.2NoConvolutions Die Hard: Open-Vocabulary Segmentat...2023-08-04Code
11SCAN16.7NoOpen-Vocabulary Segmentation with Semantic-Assis...2023-12-07Code
12MAFT-ViTL15.7NoLearning Mask-aware CLIP Representations for Zer...2023-09-30Code
13ODISE14.5NoOpen-Vocabulary Panoptic Segmentation with Text-...2023-03-08Code
14OVSeg Swin-B12.4NoOpen-Vocabulary Semantic Segmentation with Mask-...2022-10-09Code
15MaskCLIP10NoExtract Free Dense Labels from CLIP2021-12-02Code