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/CBN

CBN

Reported on 17 benchmarks across 5 tasks · 2 papers

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

Computer Vision13 results

Person Re-IdentificationonMSMT17
Rank-1· 2020-01-23
72.8
best: 91.7 (SOLIDER (with re-ranking))
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization arXiv:2001.08680
Person Re-IdentificationonMSMT17
mAP· 2020-01-23
42.9
best: 86.7 (CLIP-ReID (with re-ranking))
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization arXiv:2001.08680
Person Re-IdentificationonMarket-1501
Rank-1· 2020-01-23
91.3
best: 98 (st-ReID(RE, RK))
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization arXiv:2001.08680
Person Re-IdentificationonMarket-1501
Rank-5· 2020-01-23
97.1
best: 98.9 (st-ReID(RE, RK))
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization arXiv:2001.08680
Person Re-IdentificationonMarket-1501
mAP· 2020-01-23
77.3
best: 96.21 (Unsupervised Pre-training (ResNet101+RK))
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization arXiv:2001.08680
Person Re-IdentificationonDukeMTMC-reID
Rank-1· 2020-01-23
82.5
best: 95.6 (CTL Model (ResNet50, 256x128))
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization arXiv:2001.08680
Person Re-IdentificationonDukeMTMC-reID
Rank-10· 2020-01-23
94.1
best: 97.9 (CTL Model (ResNet50, 256x128))
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization arXiv:2001.08680
Person Re-IdentificationonDukeMTMC-reID
Rank-5· 2020-01-23
91.7
best: 96.5 (Viewpoint-Aware Loss(RK))
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization arXiv:2001.08680
Person Re-IdentificationonDukeMTMC-reID
mAP· 2020-01-23
67.3
best: 97.1 (DenseIL)
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization arXiv:2001.08680
Image Super-ResolutiononWebFace - 8x upscaling
PSNR· 2016-07-18
23.1
best: 27.21 (GFRNet)
Deep Cascaded Bi-Network for Face Hallucination arXiv:1607.05046
Image Super-ResolutiononVggFace2 - 8x upscaling
PSNR· 2016-07-18
21.84
best: 25.57 (Full-GWAInet)
Deep Cascaded Bi-Network for Face Hallucination arXiv:1607.05046
3D Object Super-ResolutiononWebFace - 8x upscaling
PSNR· 2016-07-18
23.1
best: 27.21 (GFRNet)
Deep Cascaded Bi-Network for Face Hallucination arXiv:1607.05046
3D Object Super-ResolutiononVggFace2 - 8x upscaling
PSNR· 2016-07-18
21.84
best: 25.57 (Full-GWAInet)
Deep Cascaded Bi-Network for Face Hallucination arXiv:1607.05046

Graphs2 results

Super-ResolutiononWebFace - 8x upscaling
PSNR· 2016-07-18
23.1
best: 27.21 (GFRNet)
Deep Cascaded Bi-Network for Face Hallucination arXiv:1607.05046
Super-ResolutiononVggFace2 - 8x upscaling
PSNR· 2016-07-18
21.84
best: 25.57 (Full-GWAInet)
Deep Cascaded Bi-Network for Face Hallucination arXiv:1607.05046

Methodology2 results

16konWebFace - 8x upscaling
PSNR· 2016-07-18
23.1
best: 27.21 (GFRNet)
Deep Cascaded Bi-Network for Face Hallucination arXiv:1607.05046
16konVggFace2 - 8x upscaling
PSNR· 2016-07-18
21.84
best: 25.57 (Full-GWAInet)
Deep Cascaded Bi-Network for Face Hallucination arXiv:1607.05046