2 citations · 3 across the 4 of their papers we have counts for
4 papers
Correctness Learning: Deductive Verification Guided Learning for Human-AI Collaboration
Zhao Jin, Lu Jin, Yizhe Luo +5
Despite significant progress in AI and decision-making technologies in safety-critical fields, challenges remain in verifying the correctness of decision output schemes and verific…
Neighborhood and Global Perturbations Supported SAM in Federated Learning: From Local Tweaks To Global Awareness
Boyuan Li, Zihao Peng, Yafei Li +4
Federated Learning (FL) can be coordinated under the orchestration of a central server to collaboratively build a privacy-preserving model without the need for data exchange. Howev…
Improving Vision Anomaly Detection with the Guidance of Language Modality
Dong Chen, Kaihang Pan, Guoming Wang +2
Recent years have seen a surge of interest in anomaly detection for tackling industrial defect detection, event detection, etc. However, existing unsupervised anomaly detectors, pa…
Noise Self-Regression: A New Learning Paradigm to Enhance Low-Light Images Without Task-Related Data
Zhao Zhang, Suiyi Zhao, Xiaojie Jin +4
Deep learning-based low-light image enhancement (LLIE) is a task of leveraging deep neural networks to enhance the image illumination while keeping the image content unchanged. Fro…