HyperAI초신경

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

한국어

HyperAI초신경

Unsupervised Video Summarization On Summe

평가 지표

F1-score

Parameters (M)

training time (s)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	F1-score	Parameters (M)	training time (s)	Paper Title	Repository
CSNet	51.3	100.76	568.6	Discriminative Feature Learning for Unsupervised Video Summarization
AC-SUM-GAN	50.8	26.75	2825	AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization	-
SegSum	54	5.25	-	Integrate the temporal scheme for unsupervised video summarization via attention mechanism	-
SUM-GAN-sl	47.8	23.31	1185	A Stepwise, Label-based Approach for Improving the Adversarial Training in Unsupervised Video Summarization	-
CA-SUM	51.1	5.25	24	Summarizing Videos using Concentrated Attention and Considering the Uniqueness and Diversity of the Video Frames	-
TAC-SUM	54.48	-	-	Cluster-based Video Summarization with Temporal Context Awareness
SUM-GAN-AAE	48.9	24.31	1639	Unsupervised Video Summarization via Attention-Driven Adversarial Learning	-
Cycle-SUM	41.9	-	-	Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization	-
DR-DSN	41.4	2.63	19.8	Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward
RS-SUM	52.0	-	-	Adopting Self-Supervised Learning into Unsupervised Video Summarization through Restorative Score.	-

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