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Models/EoMT (DINOv2-L, single-scale, 512x512)

EoMT (DINOv2-L, single-scale, 512x512)

Reported on 12 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.

Medical6 results

Semantic SegmentationonADE20K
Mean IoU (class)· 2025-03-24
58.4
SOTA
Your ViT is Secretly an Image Segmentation Model arXiv:2503.19108
Semantic SegmentationonADE20K val
mIoU· 2025-03-24
58.4
best: 62.8 (BEiT-3)
Your ViT is Secretly an Image Segmentation Model arXiv:2503.19108
Semantic SegmentationonADE20K
GFLOPs· 2025-03-24
721
best: 4635 (InternImage-H)
Your ViT is Secretly an Image Segmentation Model arXiv:2503.19108
Semantic SegmentationonADE20K
GFLOPs (512 x 512)· 2025-03-24
721
best: 3335 (ConvNeXt-XL++)
Your ViT is Secretly an Image Segmentation Model arXiv:2503.19108
Semantic SegmentationonADE20K
Params (M)· 2025-03-24
316
best: 3000 (FD-SwinV2-G)
Your ViT is Secretly an Image Segmentation Model arXiv:2503.19108
Semantic SegmentationonADE20K
Validation mIoU· 2025-03-24
58.4
best: 63.6 (ViT-P (InternImage-H))
Your ViT is Secretly an Image Segmentation Model arXiv:2503.19108

Audio6 results

10-shot image generationonADE20K
Mean IoU (class)· 2025-03-24
58.4
SOTA
Your ViT is Secretly an Image Segmentation Model arXiv:2503.19108
10-shot image generationonADE20K val
mIoU· 2025-03-24
58.4
best: 62.8 (BEiT-3)
Your ViT is Secretly an Image Segmentation Model arXiv:2503.19108
10-shot image generationonADE20K
GFLOPs· 2025-03-24
721
best: 4635 (InternImage-H)
Your ViT is Secretly an Image Segmentation Model arXiv:2503.19108
10-shot image generationonADE20K
GFLOPs (512 x 512)· 2025-03-24
721
best: 3335 (ConvNeXt-XL++)
Your ViT is Secretly an Image Segmentation Model arXiv:2503.19108
10-shot image generationonADE20K
Params (M)· 2025-03-24
316
best: 3000 (FD-SwinV2-G)
Your ViT is Secretly an Image Segmentation Model arXiv:2503.19108
10-shot image generationonADE20K
Validation mIoU· 2025-03-24
58.4
best: 63.6 (ViT-P (InternImage-H))
Your ViT is Secretly an Image Segmentation Model arXiv:2503.19108