RTQ: Rethinking Video-language Understanding Based on Image-text Model

1 December 2023

Papers citing "RTQ: Rethinking Video-language Understanding Based on Image-text Model"

5 / 5 papers shown

Title
Narrating the Video: Boosting Text-Video Retrieval via Comprehensive Utilization of Frame-Level Captions Chan hur Jeong-hun Hong Dong-hun Lee Dabin Kang Semin Myeong Sang-hyo Park Hyeyoung Park 58 0 0 07 Mar 2025
ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding Xiao Wang Qingyi Si Jianlong Wu Shiyu Zhu Zheng Lin Liqiang Nie VLM 82 6 0 29 Dec 2024
Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation Xiao Wang Tian Gan Yin-wei Wei Jianlong Wu Dai Meng Liqiang Nie 19 6 0 15 Mar 2023
Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval? Wenhao Wu Haipeng Luo Bo Fang Jingdong Wang Wanli Ouyang 98 80 0 31 Dec 2022
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval Huaishao Luo Lei Ji Ming Zhong Yang Chen Wen Lei Nan Duan Tianrui Li CLIP VLM 317 780 0 18 Apr 2021