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Models/SegCLIP

SegCLIP

Reported on 6 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Medical3 results

Semantic SegmentationonPASCAL VOC
mIoU· 2022-11-27
52.6
best: 76.7 (CorrCLIP)
SOTA
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation arXiv:2211.14813
Semantic SegmentationonCOCO (Common Objects in Context)
mIoU· 2022-11-27
26.5
best: 77.2 (HyperSeg)
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation arXiv:2211.14813
Semantic SegmentationonPASCAL Context
mIoU· 2022-11-27
24.7
best: 71.1 (VPNeXt)
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation arXiv:2211.14813

Audio3 results

10-shot image generationonPASCAL VOC
mIoU· 2022-11-27
52.6
best: 76.7 (CorrCLIP)
SOTA
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation arXiv:2211.14813
10-shot image generationonCOCO (Common Objects in Context)
mIoU· 2022-11-27
26.5
best: 77.2 (HyperSeg)
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation arXiv:2211.14813
10-shot image generationonPASCAL Context
mIoU· 2022-11-27
24.7
best: 71.1 (VPNeXt)
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation arXiv:2211.14813