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Models/MIDAS

MIDAS

Reported on 20 benchmarks across 4 tasks · 2 papers · 12 SOTA

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

Computer Vision8 results

Depth EstimationonDCM
RMSE· 2019-07-02
1.033
best: 0.971 (Bhattacharjee et al.)
SOTA
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341
Depth EstimationonDCM
RMSE log· 2019-07-02
0.375
best: 0.305 (Bhattacharjee et al.)
SOTA
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341
Depth EstimationoneBDtheque
RMSE· 2019-07-02
1.416
best: 1.364 (Bhattacharjee et al.)
SOTA
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341
Depth EstimationoneBDtheque
RMSE log· 2019-07-02
0.659
best: 0.553 (Bhattacharjee et al.)
SOTA
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341
Depth EstimationonDCM
Abs Rel· 2019-07-02
0.309
best: 0.351 (T2Net)
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341
Depth EstimationonDCM
Sq Rel· 2019-07-02
0.381
best: 0.416 (T2Net)
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341
Depth EstimationoneBDtheque
Abs Rel· 2019-07-02
0.419
best: 0.491 (T2Net)
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341
Depth EstimationoneBDtheque
Sq Rel· 2019-07-02
0.503
best: 0.555 (T2Net)
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341

Methodology8 results

3DonDCM
RMSE· 2019-07-02
1.033
best: 0.971 (Bhattacharjee et al.)
SOTA
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341
3DonDCM
RMSE log· 2019-07-02
0.375
best: 0.305 (Bhattacharjee et al.)
SOTA
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341
3DoneBDtheque
RMSE· 2019-07-02
1.416
best: 1.364 (Bhattacharjee et al.)
SOTA
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341
3DoneBDtheque
RMSE log· 2019-07-02
0.659
best: 0.553 (Bhattacharjee et al.)
SOTA
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341
3DonDCM
Abs Rel· 2019-07-02
0.309
best: 0.351 (T2Net)
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341
3DonDCM
Sq Rel· 2019-07-02
0.381
best: 0.416 (T2Net)
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341
3DoneBDtheque
Abs Rel· 2019-07-02
0.419
best: 0.491 (T2Net)
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341
3DoneBDtheque
Sq Rel· 2019-07-02
0.503
best: 0.555 (T2Net)
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer arXiv:1907.01341

Natural Language Processing4 results

Slot FillingonMULTIWOZ 2.2
F1 score· 2024-08-15
99.28
SOTA
MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU arXiv:2408.08144
Slot FillingonDialogue State Tracking Challenge
F1 score· 2024-08-15
98.56
SOTA
MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU arXiv:2408.08144
Intent DetectiononDialogue State Tracking Challenge
Accuracy· 2024-08-15
94.27
SOTA
MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU arXiv:2408.08144
Intent DetectiononMULTIWOZ 2.2
Accuarcy· 2024-08-15
85.02
SOTA
MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU arXiv:2408.08144