MonoViT

Reported on 4 benchmarks across 2 tasks · 2 papers · 2 SOTA

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

Computer Vision2 results

Depth EstimationonKITTI
absolute relative error· 2022-08-06
0.093
SOTA
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer arXiv:2208.03543
Depth EstimationonSCARED-C
mDERS· 2024-09-30
0.2759
best: 0.3134 (AF-SfMLearner )
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction arXiv:2409.19930

Methodology2 results

3DonKITTI
absolute relative error· 2022-08-06
0.093
SOTA
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer arXiv:2208.03543
3DonSCARED-C
mDERS· 2024-09-30
0.2759
best: 0.3134 (AF-SfMLearner )
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction arXiv:2409.19930