Abstract: Most deep-learning models for vision tasks rely on RGB images as their primary input layer, assuming the model inherently discovers an optimal representation. In this work, we challenge this ...

Abstract: Source-free domain adaptation (SFDA) facilitates knowledge transfer from source models to unlabeled target data with inaccessible source data. An auxiliary task-based self-training paradigm ...