2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated
Muli Yang, Gabriel James Goenawan, Henan Wang +7
Despite being trained on balanced datasets, existing AI-generated image detectors often exhibit systematic bias at test time, frequently misclassifying fake images as real. We hypo…
cs.CV2024
Bridging the Intent Gap: Knowledge-Enhanced Visual Generation
Yi Cheng, Ziwei Xu, Dongyun Lin +5
For visual content generation, discrepancies between user intentions and the generated content have been a longstanding problem. This discrepancy arises from two main factors. Firs…
cs.CV2022★ 2 cited
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning
Zenglin Shi, Jing Jie, Ying Sun +2
In AI, generalization refers to a model's ability to perform well on out-of-distribution data related to the given task, beyond the data it was trained on. For an AI agent to excel…