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Contrastive Losses Are Natural Criteria for Unsupervised Video
  Summarization

Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization

18 November 2022
Zongshang Pang
Yuta Nakashima
Mayu Otani
Hajime Nagahara
ArXivPDFHTML

Papers citing "Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization"

4 / 4 papers shown
Title
Measure Twice, Cut Once: Grasping Video Structures and Event Semantics with LLMs for Video Temporal Localization
Zongshang Pang
Mayu Otani
Yuta Nakashima
58
0
0
12 Mar 2025
UBiSS: A Unified Framework for Bimodal Semantic Summarization of Videos
UBiSS: A Unified Framework for Bimodal Semantic Summarization of Videos
Yuting Mei
Linli Yao
Qin Jin
34
1
0
24 Jun 2024
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,775
0
29 Apr 2021
1