Abstract: Unsupervised Domain Adaptation (UDA) methods have been successful in reducing label dependency by minimizing the domain discrepancy between labeled source domains and unlabeled target ...
Each semester, we offer review sessions on a number of topics to help reinforce core concepts. Professors can also request sessions and workshops on additional subjects. If you feel you’re struggling ...
Abstract: Direct image-to-graph transformation is a challenging task that involves solving object detection and relationship prediction in a single model. Due to this task's complexity, large training ...
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