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Models/Auto-DeepLab-L

Auto-DeepLab-L

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 SegmentationonADE20K val
Pixel Accuracy· 2019-01-10
81.72
best: 83.43 (gSwin-S)
SOTA
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation arXiv:1901.02985
Semantic SegmentationonADE20K val
mIoU· 2019-01-10
43.98
best: 62.8 (BEiT-3)
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation arXiv:1901.02985
Semantic SegmentationonADE20K
Validation mIoU· 2019-01-10
43.98
best: 63.6 (ViT-P (InternImage-H))
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation arXiv:1901.02985

Audio3 results

10-shot image generationonADE20K val
Pixel Accuracy· 2019-01-10
81.72
best: 83.43 (gSwin-S)
SOTA
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation arXiv:1901.02985
10-shot image generationonADE20K val
mIoU· 2019-01-10
43.98
best: 62.8 (BEiT-3)
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation arXiv:1901.02985
10-shot image generationonADE20K
Validation mIoU· 2019-01-10
43.98
best: 63.6 (ViT-P (InternImage-H))
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation arXiv:1901.02985