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Temporal Action Localization On Fineaction

Métriques

mAP

mAP [email protected]

mAP [email protected]

mAP [email protected]

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	mAP	mAP [email protected]	mAP [email protected]	mAP [email protected]	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	-

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Temporal Action Localization On Fineaction | SOTA | HyperAI