Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection

2 March 2024

Papers citing "Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection"

9 / 9 papers shown

Title
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
Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features Fumiaki Sato Ryo Hachiuma Taiki Sekii 40 22 0 27 Mar 2023
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 115 151 0 20 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 278 1,939 0 09 Feb 2021
Video Transformer Network Daniel Neimark Omri Bar Maya Zohar Dotan Asselmann ViT 193 419 0 01 Feb 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015