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ResearchFormerly WizWand

Depth Estimation on Hamlyn

0.108Abs RelOurs
0.096760.172630.24850.32437Feb 14, 2026Mar 6, 2026Mar 26, 2026Apr 15, 2026May 5, 2026May 25, 2026Jun 14, 2026
Updated 4mo ago

Evaluation results

MethodLinks
OursDescription=3D consistency optimization framework, Evaluation Setting=Zero-shot2026.060.1081.55410.5350.13688.3
ZENBackbone=ViT-B, Mode=Fine-tuned2026.020.15542.880612.54960.18773.51
MIS-DINOv2Backbone=ViT-L, Pre-training strategy=Self-supervised learning, Evaluation protocol=Frozen backbones2026.020.15793.089512.91460.192373.73
MIS-DINOv2Backbone=ViT-L, Mode=Fine-tuned2026.020.16143.152713.11280.195373.04
ZENBackbone=ViT-B, Pre-training strategy=Existing pretrained, Evaluation protocol=Frozen backbones2026.020.16213.228613.20180.197172.73
MIS-DINOv2Backbone=ViT-B, Pre-training strategy=Self-supervised learning, Evaluation protocol=Frozen backbones2026.020.1683.398613.8990.207571.02
MIS-MSNBackbone=ViT-B, Pre-training strategy=Self-supervised learning, Evaluation protocol=Frozen backbones2026.020.16893.228713.72720.20670.86
MIS-DINOBackbone=ViT-B, Pre-training strategy=Self-supervised learning, Evaluation protocol=Frozen backbones2026.020.16913.297113.90770.209670.03
MIS-DINOv2Backbone=ViT-B, Mode=Fine-tuned2026.020.17143.542814.25670.213468.58
SurgeNetBackbone=CAFormer18, Mode=Fine-tuned2026.020.17153.614314.19650.212568.36
MIS-MSNBackbone=ViT-B, Mode=Fine-tuned2026.020.17273.620814.41880.215168.36
MIS-MoCoV3Backbone=ViT-B, Mode=Fine-tuned2026.020.17453.472114.18410.212769.21
MIS-MoCoV3Backbone=ViT-B, Pre-training strategy=Self-supervised learning, Evaluation protocol=Frozen backbones2026.020.17533.45514.16480.213168.84
MIS-DINOBackbone=ViT-B, Mode=Fine-tuned2026.020.18023.886614.92830.225764.49
PeskaVLPBackbone=ResNet50, Mode=Fine-tuned2026.020.18123.958414.84820.225765.83
EndoFMBackbone=ViT-B, Mode=Fine-tuned2026.020.18174.042514.89250.221368.84
EndoFMBackbone=ViT-B, Pre-training strategy=Existing pretrained, Evaluation protocol=Frozen backbones2026.020.1833.925314.39770.215369.68
ImageNetBackbone=ViT-B, Pre-training strategy=Existing pretrained, Evaluation protocol=Frozen backbones2026.020.18314.142114.98930.224366.84
ImageNetBackbone=ViT-B, Mode=Fine-tuned2026.020.18644.193315.01180.223668.48
PeskaVLPBackbone=ResNet50, Pre-training strategy=Existing pretrained, Evaluation protocol=Frozen backbones2026.020.18864.234214.91810.222169.01
MIS-MAEBackbone=ViT-B, Pre-training strategy=Self-supervised learning, Evaluation protocol=Frozen backbones2026.020.18974.275914.76640.221369.02
EndoViTBackbone=ViT-B, Mode=Fine-tuned2026.020.19064.232815.43850.232365.19
MIS-MAEBackbone=ViT-B, Mode=Fine-tuned2026.020.19083.966914.61770.220666.61
SurgeNetBackbone=CAFormer18, Pre-training strategy=Existing pretrained, Evaluation protocol=Frozen backbones2026.020.19294.130315.57930.238161.44
EndoDAVYear=2025, Evaluation Setting=Zero-shot2026.060.2125.0416.7590.27659.5
EndoViTBackbone=ViT-B, Pre-training strategy=Existing pretrained, Evaluation protocol=Frozen backbones2026.020.21775.228617.26790.269554.44
EndoDACYear=2024, Evaluation Setting=Zero-shot2026.060.246.99817.240.30458.9
GSViTBackbone=EfficientViT, Mode=Fine-tuned2026.020.24076.005417.09570.258557.51
GSViTBackbone=EfficientViT, Pre-training strategy=Existing pretrained, Evaluation protocol=Frozen backbones2026.020.2476.240417.81720.26757.2
AnySplatYear=2025, Evaluation Setting=Zero-shot2026.060.29917.13329.9380.64658.8
VDAYear=2025, Evaluation Setting=Zero-shot2026.060.38919.30823.0050.33351.3