8 citations · 41 across the 8 of their papers we have counts for
8 papers
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection
Zhiwei Yang, Jing Liu, Peng Wu
Weakly supervised video anomaly detection (WSVAD) is a challenging task. Generating fine-grained pseudo-labels based on weak-label and then self-training a classifier is currently…
Open-Vocabulary Video Anomaly Detection
Peng Wu, Xuerong Zhou, Guansong Pang +4
Video anomaly detection (VAD) with weak supervision has achieved remarkable performance in utilizing video-level labels to discriminate whether a video frame is normal or abnormal.…
Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model
Peng Wu, Jing Liu, Xiangteng He +3
Video anomaly detection (VAD) has been paid increasing attention due to its potential applications, its current dominant tasks focus on online detecting anomalies% at the frame lev…
SLSG: Industrial Image Anomaly Detection by Learning Better Feature Embeddings and One-Class Classification
Minghui Yang, Jing Liu, Zhiwei Yang +1
Industrial image anomaly detection under the setting of one-class classification has significant practical value. However, most existing models struggle to extract separable featur…
Video Event Restoration Based on Keyframes for Video Anomaly Detection
Zhiwei Yang, Jing Liu, Zhaoyang Wu +2
Video anomaly detection (VAD) is a significant computer vision problem. Existing deep neural network (DNN) based VAD methods mostly follow the route of frame reconstruction or fram…
Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection
Zhiwei Yang, Peng Wu, Jing Liu +1
Existing methods for anomaly detection based on memory-augmented autoencoder (AE) have the following drawbacks: (1) Establishing a memory bank requires additional memory space. (2)…
MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities
Minghui Yang, Peng Wu, Jing Liu +1
Under the semi-supervised framework, we propose an end-to-end memory-based segmentation network (MemSeg) to detect surface defects on industrial products. Considering the small int…
HANet: Hierarchical Alignment Networks for Video-Text Retrieval
Peng Wu, Xiangteng He, Mingqian Tang +2
Video-text retrieval is an important yet challenging task in vision-language understanding, which aims to learn a joint embedding space where related video and text instances are c…