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Models/CAT-Seg

CAT-Seg

Reported on 6 benchmarks across 1 task · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

Open Vocabulary Semantic SegmentationonADE20K-847
mIoU· 2023-03-21
16
best: 17.3 (UMG-CLIP-E/14)
SOTA
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation arXiv:2303.11797
Open Vocabulary Semantic SegmentationonPascalVOC-20b
mIoU· 2023-03-21
82.5
best: 85.4 (UMG-CLIP-E/14)
SOTA
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation arXiv:2303.11797
Open Vocabulary Semantic SegmentationonPASCAL Context-459
mIoU· 2023-03-21
23.8
best: 25.8 (SILC)
SOTA
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation arXiv:2303.11797
Open Vocabulary Semantic SegmentationonPascalVOC-20
mIoU· 2023-03-21
97
best: 97.9 (UMG-CLIP-L/14)
SOTA
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation arXiv:2303.11797
Open Vocabulary Semantic SegmentationonPASCAL Context-59
mIoU· 2023-03-21
63.3
best: 64.6 (HyperSeg)
SOTA
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation arXiv:2303.11797
Open Vocabulary Semantic SegmentationonADE20K-150
mIoU· 2023-03-21
37.9
best: 38.2 (Mask-Adapter)
SOTA
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation arXiv:2303.11797