3 accepted papers
Deep learning-based object detection methods have shown significant success, particularly in robotic vision tasks like autonomous navigation and object manipulation. However, their performance drops sharply in low-light conditions, challenging robots in poorly lit environments. To address this, we p
Face anti-spoofing approach based on domain generalization (DG) has drawn growing attention due to its robustness for unseen scenarios. Existing DG methods assume that the domain label is known. However, in real-world applications, the collected dataset always contains mixture domains, where the dom…
One crucial aspect of partial domain adaptation (PDA) is how to select the relevant source samples in the shared classes for knowledge transfer. Previous PDA methods tackle this problem by re-weighting the source samples based on their high-level information (deep features). However, since the domai…