Image Navigation on ImageNav
70.3Success RateVC-1
Evaluation results
| Method | Links | |
|---|---|---|
| VC-1Arch=ViT-L, Pretrain Data=Ego4D+MNI, Scale=5.6M2025.03 | 70.3 | |
| SlotMIMArch=ViT-B, Pretrain Data=DetSoup, Scale=4.0M2025.03 | 69.8 | |
| SlotMIMPre-training Dataset=DetSoup, Pre-training Scale=4M, Backbone=ViT-B/162025.03 | 69.8 | |
| MVPArch=ViT-L, Pretrain Data=EgoSoup, Scale=4.6M2025.03 | 68.1 | |
| VC-1Arch=ViT-B, Pretrain Data=Ego4D+MNI, Scale=5.6M2025.03 | 67.9 | |
| VC-1Pre-training Dataset=Ego4D+MNI, Pre-training Scale=5.6M, Backbone=ViT-B/162025.03 | 67.9 | |
| SlotMIMArch=ViT-B, Pretrain Data=Ego4D, Scale=1.28M2025.03 | 65.4 | |
| SlotMIMPre-training Dataset=Ego4D, Pre-training Scale=1.28M, Backbone=ViT-B/162025.03 | 65.4 | |
| MVPArch=ViT-B, Pretrain Data=EgoSoup, Scale=4.6M2025.03 | 64.7 | |
| MVPPre-training Dataset=EgoSoup, Pre-training Scale=4.6M, Backbone=ViT-B/162025.03 | 64.7 | |
| DINOv2Pre-training Dataset=LVD, Pre-training Scale=142M, Backbone=ViT-B/142025.03 | 59.1 |