2 papers
cs.CV2026
Improving Anomaly Detection with Foundation-Model Synthesis and Wavelet-Domain Attention
Wensheng Wu, Zheming Lu, Ziqian Lu +5
Industrial anomaly detection faces significant challenges due to the scarcity of anomalous samples and the complexity of real-world anomalies. In this paper, we propose a foundatio…
cs.CV2023
Prompt-based test-time real image dehazing: a novel pipeline
Zixuan Chen, Zewei He, Ziqian Lu +2
Existing methods attempt to improve models' generalization ability on real-world hazy images by exploring well-designed training schemes (\eg, CycleGAN, prior loss). However, most…