Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification

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Benchmark Model Rank Results
action-recognition-in-videos-on-ucf101S3D-G (ImageNet, Kinetics-400 pretrained)#183-fold Accuracy: 96.8
action-recognition-in-videos-on-hmdb-51S3D-G (ImageNet, Kinetics-400 pretrained)#25Average accuracy of 3 splits: 75.9
action-classification-on-kinetics-600S3D-G (RGB+Flow)#48Top-1 Accuracy: 78.6
action-classification-on-kinetics-600S3D-G (RGB)#51Top-1 Accuracy: 76.6
action-classification-on-kinetics-600S3D-G (Flow)#55Top-1 Accuracy: 69.7
action-recognition-in-videos-on-something-something-v1S3D-G (ImageNet pretrained)#51Top 1 Accuracy: 48.2Top 5 Accuracy: 78.7
action-recognition-in-videos-on-something-something-v1S3D#53Top 1 Accuracy: 47.3Top 5 Accuracy: 78.1
action-classification-on-kinetics-400S3D-G (RGB+Flow, ImageNet pretrained)#138Acc@1: 77.2Acc@5: 93
action-classification-on-kinetics-400S3D-G (RGB, ImageNet pretrained)#152Acc@1: 74.7Acc@5: 93.4
action-classification-on-kinetics-400S3D-G (Flow, ImageNet pretrained)#171Acc@1: 68Acc@5: 87.6

Rank counts only results with a code link.