Learning Prompt-Enhanced Context Features for Weakly-Supervised Video
Anomaly Detection

Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection

26 June 2023

Lulu Yang

Papers citing "Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection"

8 / 8 papers shown

Title
Componential Prompt-Knowledge Alignment for Domain Incremental Learning Kunlun Xu Xu Zou Gang Hua Jiahuan Zhou CLL 78 0 0 07 May 2025
Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network Junyan Wu Wenbo Xu Wei Lu Xiangyang Luo Rui Yang Shize Guo 34 0 0 03 May 2025
Deep Learning for Video Anomaly Detection: A Review Peng Wu Chengyu Pan Yuting Yan Guansong Pang Peng Wang Yanning Zhang VLM AI4TS 37 6 0 09 Sep 2024
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection Lewei Yao Jianhua Han Youpeng Wen Xiaodan Liang Dan Xu Wei Zhang Zhenguo Li Chunjing Xu Hang Xu CLIP VLM 115 152 0 20 Sep 2022
ActionCLIP: A New Paradigm for Video Action Recognition Mengmeng Wang Jiazheng Xing Yong Liu VLM 149 362 0 17 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 325 2,263 0 02 Sep 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,918 0 31 Dec 2020
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 227 7,903 0 13 Jun 2015