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.
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.
3 code implementations • Frontiers in Physiology 2022 • Bin Hu, Yang Liu, Pengzhi Chu, Minglei Tong, Qingjie Kong
This method can perform well with blood cell detection in our experiments.
1 code implementation • 14 Nov 2021 • Weipeng Xu, Pengzhi Chu, Renhao Xie, Xiongziyan Xiao, Hongcheng Huang
In this paper, we propose Unified Decoupled Feature Alignment (UDFA), a novel fine-tuning paradigm which achieves better performance than existing methods, by fully exploring the combination between self-knowledge distillation and adversarial training for object detection.
no code implementations • 29 Apr 2021 • Shuang Zhang, Liyao Xiang, Xi Yu, Pengzhi Chu, Yingqi Chen, Chen Cen, Li Wang
Real-world data is usually segmented by attributes and distributed across different parties.