ActPrompt: In-Domain Feature Adaptation via Action Cues for Video
Temporal Grounding

ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding

13 August 2024

Yubin Wang

Papers citing "ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding"

6 / 6 papers shown

Title
Parameter-Efficient Fine-Tuning for Foundation Models Dan Zhang Tao Feng Lilong Xue Yuandong Wang Yuxiao Dong J. Tang 39 7 0 23 Jan 2025
Query-Dependent Video Representation for Moment Retrieval and Highlight Detection WonJun Moon Sangeek Hyun S. Park Dongchan Park Jae-Pil Heo ViT 41 106 0 24 Mar 2023
Prompt-aligned Gradient for Prompt Tuning Beier Zhu Yulei Niu Yucheng Han Yuehua Wu Hanwang Zhang VLM 177 271 0 30 May 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 236 805 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,843 0 18 Apr 2021
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval Jie Lei Licheng Yu Tamara L. Berg Mohit Bansal 108 275 0 24 Jan 2020