2 papers
cs.LG2025
BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition
Chaoqun Du, Yulin Wang, Shiji Song +1
Bayesian decision theory advocates the Bayes classifier as the optimal approach for minimizing the risk in machine learning problems. Current deep learning algorithms usually solve…
cs.CV2024
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
Jiayi Guo, Junhao Zhao, Chaoqun Du +6
Test-time adaptation (TTA) aims to improve the performance of source-domain pre-trained models on previously unseen, shifted target domains. Traditional TTA methods primarily adapt…