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Action Recognition on FineGym Gym288

0.686Mean per-class AccuracyTAG-Head
0.248160.361830.47550.58917Feb 14, 2021Dec 25, 2021Nov 4, 2022Sep 14, 2023Jul 24, 2024Jun 3, 2025Apr 13, 2026

Evaluation results

MethodLinks
TAG-HeadInput=R2026.040.686—0.922
PEVLInput=R + T + P2026.040.64—0.918
PGVTInput=R + P2026.040.636—0.91
VTCEInput=R + T2026.040.626—0.901
TQNInput=R2026.040.619—0.896
SlowFastInput=R2026.040.512—0.868
RSANet-R50Backbone=ResNet-502021.110.509——
SELFYNet TSM R50#frame=82021.020.495——
TSM-R50#frame=8, implementation=our impl.2021.020.479——
TSM Two-Stream#frame=N/A2021.020.465——
TSMTwo-stream2021.110.465——
TSMInput=R2026.040.465—0.735
TRNmsInput=R2026.040.433—0.731
TSNInput=R2026.040.376—0.683
TSM-R50#frame=3, implementation=our impl.2021.020.353——
TSM#frame=32021.020.348——
TSM2021.110.348——
TRN#frame=32021.020.331——
TRN2021.110.331——
I3DInput=R2026.040.282—0.667
I3D#frame=82021.020.279——
I3D2021.110.279——
NL I3D#frame=82021.020.271——
TSN#frame=32021.020.265——
LVMAE2024.11—0.928—
MOSS-BBackbone=ViT-B/162026.04——0.702
MOSS-LBackbone=ViT-L/142026.04——0.711
RSANet2026.04——0.509
Side4Video-B*Backbone=ViT-B, Note=reproduced by current paper setup2026.04——0.691
StructViT-B-4-1Backbone=ViT-B2026.04——0.542
TCT2024.11—0.926—
TQN2024.11—0.896—
TQN2026.04——0.619
TSM2024.11—0.831—
TSM2026.04——0.348
TSMtwo-stream2026.04——0.465
VT-CE2024.11—0.901—
VT-CE2026.04——0.626