3 accepted papers
Continual Test Time Adaptation (CTTA) has emerged as a critical approach to bridge the domain gap between controlled training environments and real-world scenarios.Since it is important to balance the trade-off between adaptation and stabilization, many studies have tried to accomplish it by either…
Stereo Depth Estimation in real-world environments poses significant challenges due to dynamic domain shifts, sparse or unreliable supervision, and the high cost of acquiring dense ground-truth labels. While recent Test-Time Adaptation (TTA) methods offer promising solutions, most rely on static tar…
We introduce a new class of identifiable DAG models where the conditional distribution of each node given its parents belongs to a family of generalized hypergeometric distributions (GHD). A family of generalized hypergeometric distributions includes a lot of discrete distributions such as the binom…