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SOTA
Action Recognition
Temporal Action Localization On Fineaction
Temporal Action Localization On Fineaction
Metrics
mAP
mAP IOU@0.5
mAP IOU@0.75
mAP IOU@0.95
Results
Performance results of various models on this benchmark
Columns
Model Name
mAP
mAP IOU@0.5
mAP IOU@0.75
mAP IOU@0.95
Paper Title
Repository
DBG (i3d feature)
6.75
10.65
6.43
2.50
Fast Learning of Temporal Action Proposal via Dense Boundary Generator
-
ActionMamba(InternVideo2-6B)
29.04
45.44
28.82
6.79
Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding
DyFADet (VideoMAE v2-g)
23.8
37.1
23.7
5.9
DyFADet: Dynamic Feature Aggregation for Temporal Action Detection
RDFA-S6 (InternVideo2-6B)
29.6
46.4
29.5
7.6
Enhancing Temporal Action Localization: Advanced S6 Modeling with Recurrent Mechanism
-
G-TAD (i3d feature)
9.06
13.74
8.83
3.06
G-TAD: Sub-Graph Localization for Temporal Action Detection
BMN (i3d feaure)
9.25
14.44
8.92
3.12
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
InternVideo
17.57
-
-
-
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
InternVideo2-6B
27.7
-
-
-
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
VideoMAE V2-g
18.24
29.07
17.66
5.07
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
0 of 9 row(s) selected.
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