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Models/SwinV2-L 1K-MIM

SwinV2-L 1K-MIM

Reported on 38 benchmarks across 6 tasks · 1 paper · 20 SOTA

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

Computer Vision20 results

Depth EstimationonNYU-Depth V2
Delta < 1.25· 2022-05-26
0.949
best: 0.989 (UniK3D (FT, metric))
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Depth EstimationonNYU-Depth V2
Delta < 1.25^2· 2022-05-26
0.994
best: 1 (HybridDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Depth EstimationonNYU-Depth V2
Delta < 1.25^3· 2022-05-26
0.999
best: 1 (HybridDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Depth EstimationonNYU-Depth V2
absolute relative error· 2022-05-26
0.083
best: 0.026 (HybridDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Depth EstimationonKITTI Eigen split
Delta < 1.25· 2022-05-26
0.977
best: 0.99 (SPIDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Depth EstimationonKITTI Eigen split
Delta < 1.25^2· 2022-05-26
0.998
best: 0.999 (SPIDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Depth EstimationonKITTI Eigen split
Delta < 1.25^3· 2022-05-26
1
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Depth EstimationonKITTI Eigen split
RMSE· 2022-05-26
1.966
best: 1.394 (SPIDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Depth EstimationonKITTI Eigen split
RMSE log· 2022-05-26
0.075
best: 0.048 (SPIDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Depth EstimationonKITTI Eigen split
absolute relative error· 2022-05-26
0.05
best: 0.029 (SPIDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Depth EstimationonNYU-Depth V2
RMS· 2022-05-26
0.287
best: 0.792 (PAD-Net)
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Depth EstimationonNYU-Depth V2
RMSE· 2022-05-26
0.287
best: 0.013 (Defocus/DepthNet (Normalized))
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Depth EstimationonNYU-Depth V2
log 10· 2022-05-26
0.035
best: 0.059 (SC-DepthV2)
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Depth EstimationonKITTI Eigen split
Sq Rel· 2022-05-26
0.139
best: 0.224 (SfM-Revisited)
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Pose EstimationonCOCO test-dev
AP· 2022-05-26
77.2
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Pose EstimationonCrowdPose
AP· 2022-05-26
75.5
best: 78.5 (BUCTD-W48 (w/cond. input from PETR, and generative sampling))
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Object TrackingonLaSOT
AUC· 2022-05-26
70.7
best: 77.4 (SPMTrack-G)
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Object TrackingonGOT-10k
Average Overlap· 2022-05-26
72.9
best: 81.7 (SAMURAI-L)
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Visual Object TrackingonLaSOT
AUC· 2022-05-26
70.7
best: 77.4 (SPMTrack-G)
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
Visual Object TrackingonGOT-10k
Average Overlap· 2022-05-26
72.9
best: 81.7 (SAMURAI-L)
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543

Methodology16 results

3DonNYU-Depth V2
Delta < 1.25· 2022-05-26
0.949
best: 0.989 (UniK3D (FT, metric))
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonNYU-Depth V2
Delta < 1.25^2· 2022-05-26
0.994
best: 1 (HybridDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonNYU-Depth V2
Delta < 1.25^3· 2022-05-26
0.999
best: 1 (HybridDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonNYU-Depth V2
absolute relative error· 2022-05-26
0.083
best: 0.026 (HybridDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonKITTI Eigen split
Delta < 1.25· 2022-05-26
0.977
best: 0.99 (SPIDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonKITTI Eigen split
Delta < 1.25^2· 2022-05-26
0.998
best: 0.999 (SPIDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonKITTI Eigen split
Delta < 1.25^3· 2022-05-26
1
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonKITTI Eigen split
RMSE· 2022-05-26
1.966
best: 1.394 (SPIDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonKITTI Eigen split
RMSE log· 2022-05-26
0.075
best: 0.048 (SPIDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonKITTI Eigen split
absolute relative error· 2022-05-26
0.05
best: 0.029 (SPIDepth)
SOTA
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonCOCO test-dev
AP· 2022-05-26
77.2
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonCrowdPose
AP· 2022-05-26
75.5
best: 78.5 (BUCTD-W48 (w/cond. input from PETR, and generative sampling))
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonNYU-Depth V2
RMS· 2022-05-26
0.287
best: 0.792 (PAD-Net)
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonNYU-Depth V2
RMSE· 2022-05-26
0.287
best: 0.013 (Defocus/DepthNet (Normalized))
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonNYU-Depth V2
log 10· 2022-05-26
0.035
best: 0.059 (SC-DepthV2)
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
3DonKITTI Eigen split
Sq Rel· 2022-05-26
0.139
best: 0.224 (SfM-Revisited)
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543

Audio2 results

1 Image, 2*2 StitchionCOCO test-dev
AP· 2022-05-26
77.2
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543
1 Image, 2*2 StitchionCrowdPose
AP· 2022-05-26
75.5
best: 78.5 (BUCTD-W48 (w/cond. input from PETR, and generative sampling))
Revealing the Dark Secrets of Masked Image Modeling arXiv:2205.13543