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Models/VoV3D-M (32frames, from scratch, single)

VoV3D-M (32frames, from scratch, single)

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 RecognitiononSomething-Something V1
Top 1 Accuracy· 2020-12-01
49.8
best: 70 (InternVideo)
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification arXiv:2012.00317
Activity RecognitiononSomething-Something V1
Top 5 Accuracy· 2020-12-01
78
best: 91.9 (VideoMAE V2-g)
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification arXiv:2012.00317
Activity RecognitiononSomething-Something V2
Top-1 Accuracy· 2020-12-01
64.2
best: 77.3 (MVD (Kinetics400 pretrain, ViT-H, 16 frame))
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification arXiv:2012.00317
Activity RecognitiononSomething-Something V2
Top-5 Accuracy· 2020-12-01
88.8
best: 96.3 (DejaVid)
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification arXiv:2012.00317

Time Series4 results

Action RecognitiononSomething-Something V1
Top 1 Accuracy· 2020-12-01
49.8
best: 70 (InternVideo)
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification arXiv:2012.00317
Action RecognitiononSomething-Something V1
Top 5 Accuracy· 2020-12-01
78
best: 91.9 (VideoMAE V2-g)
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification arXiv:2012.00317
Action RecognitiononSomething-Something V2
Top-1 Accuracy· 2020-12-01
64.2
best: 77.3 (MVD (Kinetics400 pretrain, ViT-H, 16 frame))
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification arXiv:2012.00317
Action RecognitiononSomething-Something V2
Top-5 Accuracy· 2020-12-01
88.8
best: 96.3 (DejaVid)
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification arXiv:2012.00317