Boundary-aware Self-supervised Learning for Video Scene Segmentation

Boundary-aware Self-supervised Learning for Video Scene Segmentation

14 January 2022

Joonseok Lee

ArXiv (abs)PDF HTML Github (132★)

Papers citing "Boundary-aware Self-supervised Learning for Video Scene Segmentation"

9 / 9 papers shown

Title
Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs Lucas Ventura Antoine Yang Cordelia Schmid Gül Varol 101 0 0 31 Mar 2025
Multimodal Fusion and Coherence Modeling for Video Topic Segmentation Hai Yu Chong Deng Qinglin Zhang Jiaqing Liu Qian Chen Wen Wang 182 0 0 31 Dec 2024
Modality-Aware Shot Relating and Comparing for Video Scene Detection Jiawei Tan Hongxing Wang Kang Dang Jiaxin Li Zhilong Ou 70 0 0 23 Dec 2024
Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding Chaolei Tan Jian-Huang Lai Wei-Shi Zheng Jianfang Hu AI4TS 128 5 0 18 Mar 2024
MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation Najmeh Sadoughi Xinyu Li Avijit Vajpayee D. Fan Bing Shuai H. Santos-Villalobos Vimal Bhat M. Rohith 78 4 0 22 Aug 2023
VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions Yuxuan Wang Zilong Zheng Xueliang Zhao Jinpeng Li Yueqian Wang Dongyan Zhao VGen 77 9 0 30 May 2023
Efficient Movie Scene Detection using State-Space Transformers Md. Mohaiminul Islam Mahmudul Hasan Kishan Athrey Tony Braskich Gedas Bertasius ViT 68 45 0 29 Dec 2022
Movies2Scenes: Using Movie Metadata to Learn Scene Representation Shixing Chen Chundi Liu Xiang Hao Xiaohan Nie Maxim Arap Raffay Hamid 67 17 0 22 Feb 2022
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 352 4,113 0 17 Jun 2020

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.