most citedCluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2022★ 2 cited

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…

cs.CV2022

MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain Adaptation

Tarun Kalluri, Astuti Sharma, Manmohan Chandraker

Practical real world datasets with plentiful categories introduce new challenges for unsupervised domain adaptation like small inter-class discriminability, that existing approache…