Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/DDP (Swin-L, step-3)

DDP (Swin-L, step-3)

Reported on 18 benchmarks across 4 tasks · 1 paper

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

Computer Vision7 results

Depth EstimationonKITTI Eigen split
Delta < 1.25· 2023-03-30
0.975
best: 0.99 (SPIDepth)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559
Depth EstimationonKITTI Eigen split
Delta < 1.25^2· 2023-03-30
0.997
best: 0.999 (SPIDepth)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559
Depth EstimationonKITTI Eigen split
Delta < 1.25^3· 2023-03-30
0.999
best: 1 (SPIDepth)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559
Depth EstimationonKITTI Eigen split
RMSE· 2023-03-30
2.072
best: 1.394 (SPIDepth)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559
Depth EstimationonKITTI Eigen split
RMSE log· 2023-03-30
0.076
best: 0.048 (SPIDepth)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559
Depth EstimationonKITTI Eigen split
Sq Rel· 2023-03-30
0.148
best: 0.224 (SfM-Revisited)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559
Depth EstimationonKITTI Eigen split
absolute relative error· 2023-03-30
0.05
best: 0.029 (SPIDepth)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559

Methodology7 results

3DonKITTI Eigen split
Delta < 1.25· 2023-03-30
0.975
best: 0.99 (SPIDepth)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559
3DonKITTI Eigen split
Delta < 1.25^2· 2023-03-30
0.997
best: 0.999 (SPIDepth)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559
3DonKITTI Eigen split
Delta < 1.25^3· 2023-03-30
0.999
best: 1 (SPIDepth)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559
3DonKITTI Eigen split
RMSE· 2023-03-30
2.072
best: 1.394 (SPIDepth)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559
3DonKITTI Eigen split
RMSE log· 2023-03-30
0.076
best: 0.048 (SPIDepth)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559
3DonKITTI Eigen split
Sq Rel· 2023-03-30
0.148
best: 0.224 (SfM-Revisited)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559
3DonKITTI Eigen split
absolute relative error· 2023-03-30
0.05
best: 0.029 (SPIDepth)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559

Medical2 results

Semantic SegmentationonADE20K
Params (M)· 2023-03-30
207
best: 3000 (FD-SwinV2-G)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559
Semantic SegmentationonADE20K
Validation mIoU· 2023-03-30
54.4
best: 63.6 (ViT-P (InternImage-H))
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559

Audio2 results

10-shot image generationonADE20K
Params (M)· 2023-03-30
207
best: 3000 (FD-SwinV2-G)
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559
10-shot image generationonADE20K
Validation mIoU· 2023-03-30
54.4
best: 63.6 (ViT-P (InternImage-H))
DDP: Diffusion Model for Dense Visual Prediction arXiv:2303.17559