HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Weakly Supervised Action Localization On 5

평가 지표

avg-mAP (0.1-0.5)

avg-mAP (0.1:0.7)

avg-mAP (0.3-0.7)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	avg-mAP (0.1-0.5)	avg-mAP (0.1:0.7)	avg-mAP (0.3-0.7)	Paper Title	Repository
AMS	52.0	42.3	32.4	Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization	-
P-MIL	57.4	47.0	38.0	Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization
HR-Pro	71.6	60.3	51.1	HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation
LACP	62.7	52.8	44.5	Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization
EM-ML	44.9	37.7	30.4	Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
TSCN	47.0	37.8	28.8	Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization	-
ACM-Net	53.2	42.6	33.4	ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization
Lee et al.	51.6	41.9	32.9	Weakly-supervised Temporal Action Localization by Uncertainty Modeling
CoLA	50.3	40.9	32.1	CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
Ju et al.	55.6	44.8	35.4	Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses	-
AUMN	52.1	41.5	32.4	Action Unit Memory Network for Weakly Supervised Temporal Action Localization	-
A2CL-PT	46.9	37.8	30.6	Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization

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