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Models/iBOT (ViT-S/16)

iBOT (ViT-S/16)

Reported on 10 benchmarks across 9 tasks · 1 paper · 2 SOTA

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

Computer Vision4 results

Image ClassificationonImageNet
ARI· 2021-11-15
32.8
best: 62.5 (TURTLE (CLIP + DINOv2))
SOTA
iBOT: Image BERT Pre-Training with Online Tokenizer arXiv:2111.07832
Image ClassificationonImageNet
Accuracy (%)· 2021-11-15
43.4
best: 72.9 (TURTLE (CLIP + DINOv2))
SOTA
iBOT: Image BERT Pre-Training with Online Tokenizer arXiv:2111.07832
Object DetectiononCOCO test-dev
box mAP· 2021-11-15
49.4
best: 66 (Co-DETR)
iBOT: Image BERT Pre-Training with Online Tokenizer arXiv:2111.07832
Instance SegmentationonCOCO test-dev
mask AP· uses extra data· 2021-11-15
42.6
best: 57.1 (Co-DETR)
iBOT: Image BERT Pre-Training with Online Tokenizer arXiv:2111.07832

Methodology4 results

3DonCOCO test-dev
box mAP· 2021-11-15
49.4
best: 66 (Co-DETR)
iBOT: Image BERT Pre-Training with Online Tokenizer arXiv:2111.07832
2D ClassificationonCOCO test-dev
box mAP· 2021-11-15
49.4
best: 66 (Co-DETR)
iBOT: Image BERT Pre-Training with Online Tokenizer arXiv:2111.07832
2D Object DetectiononCOCO test-dev
box mAP· 2021-11-15
49.4
best: 66 (Co-DETR)
iBOT: Image BERT Pre-Training with Online Tokenizer arXiv:2111.07832
16konCOCO test-dev
box mAP· 2021-11-15
49.4
best: 66 (Co-DETR)
iBOT: Image BERT Pre-Training with Online Tokenizer arXiv:2111.07832

Medical1 result

Semantic SegmentationonADE20K
Validation mIoU· 2021-11-15
45.4
best: 63.6 (ViT-P (InternImage-H))
iBOT: Image BERT Pre-Training with Online Tokenizer arXiv:2111.07832

Audio1 result

10-shot image generationonADE20K
Validation mIoU· 2021-11-15
45.4
best: 63.6 (ViT-P (InternImage-H))
iBOT: Image BERT Pre-Training with Online Tokenizer arXiv:2111.07832