4 papers
The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results
Xingyu Qiu, Yuqian Fu, Jiawei Geng +70
Cross-domain few-shot object detection (CD-FSOD) remains a challenging problem for existing object detectors and few-shot learning approaches, particularly when generalizing across…
Robust Fair Disease Diagnosis in CT Images
Justin Li, Daniel Ding, Asmita Yuki Pritha +3
Automated diagnosis from chest CT has improved considerably with deep learning, but models trained on skewed datasets tend to perform unevenly across patient demographics. However,…
Fit for Purpose? Deepfake Detection in the Real World
Guangyu Lin, Li Lin, Christina P. Walker +2
The rapid proliferation of AI-generated content, driven by advances in generative adversarial networks, diffusion models, and multimodal large language models, has made the creatio…
Rethinking Individual Fairness in Deepfake Detection
Aryana Hou, Li Lin, Justin Li +1
Generative AI models have substantially improved the realism of synthetic media, yet their misuse through sophisticated DeepFakes poses significant risks. Despite recent advances i…