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/CoCLR

CoCLR

Reported on 8 benchmarks across 2 tasks · 1 paper

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

Robots4 results

Activity RecognitiononUCF101 (finetuned)
3-fold Accuracy· 2020-10-19
87.9
best: 95.7 (BraVe:V-FA (TSM-50x2))
Self-supervised Co-training for Video Representation Learning arXiv:2010.09709
Activity RecognitiononUCF101
3-fold Accuracy· 2020-10-19
74.5
best: 99.7 (FTP-UniFormerV2-L/14)
Self-supervised Co-training for Video Representation Learning arXiv:2010.09709
Activity RecognitiononHMDB51
Top-1 Accuracy· 2020-10-19
46.1
best: 79.7 (MVD (ViT-B))
Self-supervised Co-training for Video Representation Learning arXiv:2010.09709
Activity RecognitiononHMDB51 (finetuned)
Top-1 Accuracy· 2020-10-19
54.6
best: 77.8 (BraVe:V-FA (TSM-50x2))
Self-supervised Co-training for Video Representation Learning arXiv:2010.09709

Time Series4 results

Action RecognitiononUCF101 (finetuned)
3-fold Accuracy· 2020-10-19
87.9
best: 95.7 (BraVe:V-FA (TSM-50x2))
Self-supervised Co-training for Video Representation Learning arXiv:2010.09709
Action RecognitiononUCF101
3-fold Accuracy· 2020-10-19
74.5
best: 99.7 (FTP-UniFormerV2-L/14)
Self-supervised Co-training for Video Representation Learning arXiv:2010.09709
Action RecognitiononHMDB51
Top-1 Accuracy· 2020-10-19
46.1
best: 79.7 (MVD (ViT-B))
Self-supervised Co-training for Video Representation Learning arXiv:2010.09709
Action RecognitiononHMDB51 (finetuned)
Top-1 Accuracy· 2020-10-19
54.6
best: 77.8 (BraVe:V-FA (TSM-50x2))
Self-supervised Co-training for Video Representation Learning arXiv:2010.09709