P3D (ImageNet + Sports1M)

Reported on 2 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.

Robots1 result

Activity RecognitiononUCF101
3-fold Accuracy· uses extra data· 2017-11-28
88.6
best: 99.7 (FTP-UniFormerV2-L/14)
Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks arXiv:1711.10305

Time Series1 result

Action RecognitiononUCF101
3-fold Accuracy· uses extra data· 2017-11-28
88.6
best: 99.7 (FTP-UniFormerV2-L/14)
Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks arXiv:1711.10305