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/Swin-B

Swin-B

Reported on 8 benchmarks across 8 tasks · 3 papers

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

Computer Vision3 results

Face ReconstructiononBP4D
Average F1· 2022-05-02
62.6
best: 67.1 (FMAE-IAT)
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition arXiv:2205.01782
3D Face ReconstructiononBP4D
Average F1· 2022-05-02
62.6
best: 67.1 (FMAE-IAT)
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition arXiv:2205.01782
Image ClassificationonImageNet
GFLOPs· 2021-03-25
47
best: 1478 (InternImage-H)
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows arXiv:2103.14030

Medical2 results

Semantic SegmentationonADE20K
Validation mIoU· 2023-01-02
52.8
best: 63.6 (ViT-P (InternImage-H))
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders arXiv:2301.00808
3D Face ModellingonBP4D
Average F1· 2022-05-02
62.6
best: 67.1 (FMAE-IAT)
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition arXiv:2205.01782

Audio1 result

10-shot image generationonADE20K
Validation mIoU· 2023-01-02
52.8
best: 63.6 (ViT-P (InternImage-H))
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders arXiv:2301.00808

Music1 result

Facial Recognition and ModellingonBP4D
Average F1· 2022-05-02
62.6
best: 67.1 (FMAE-IAT)
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition arXiv:2205.01782

Methodology1 result

3DonBP4D
Average F1· 2022-05-02
62.6
best: 67.1 (FMAE-IAT)
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition arXiv:2205.01782