2 citations · 2 across the 3 of their papers we have counts for
3 papers
UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework
Tarun Kalluri, Sreyas Ravichandran, Manmohan Chandraker
In this work, we take a deeper look into the diverse factors that influence the efficacy of modern unsupervised domain adaptation (UDA) methods using a large-scale, controlled empi…
GeoNet: Benchmarking Unsupervised Adaptation across Geographies
Tarun Kalluri, Wangdong Xu, Manmohan Chandraker
In recent years, several efforts have been aimed at improving the robustness of vision models to domains and environments unseen during training. An important practical problem per…
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels
Tarun Kalluri, Manmohan Chandraker
Domain adaptation for semantic segmentation across datasets consisting of the same categories has seen several recent successes. However, a more general scenario is when the source…