IPAD: Industrial Process Anomaly Detection Dataset

no code implementations • 23 Apr 2024 • Jinfan Liu, Yichao Yan, Junjie Li, Weiming Zhao, Pengzhi Chu, Xingdong Sheng, Yunhui Liu, Xiaokang Yang

Video anomaly detection (VAD) is a challenging task aiming to recognize anomalies in video frames, and existing large-scale VAD researches primarily focus on road traffic and human activity scenes.

Anomaly Detection Video Anomaly Detection +1

Infusion: Preventing Customized Text-to-Image Diffusion from Overfitting

no code implementations • 22 Apr 2024 • Weili Zeng, Yichao Yan, Qi Zhu, Zhuo Chen, Pengzhi Chu, Weiming Zhao, Xiaokang Yang

Text-to-image (T2I) customization aims to create images that embody specific visual concepts delineated in textual descriptions.