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Astuti Sharma

2 accepted papers

2022

MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation

ECCV 2022poster

"Practical real world datasets with plentiful categories introduce new challenges for unsupervised domain adaptation like small inter-class discriminability, that existing approaches relying on domain invariance alone cannot handle sufficiently well. In this work we propose MemSAC, which exploits sa…

Cited by 18SourcePDFScholar
2021

Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation

CVPR 2021poster

Domain adaptation deals with training models using large scale labeled data from a specific source domain and then adapting the knowledge to certain target domains that have few or no labels. Many prior works learn domain agnostic feature representations for this purpose using a global distribution…

Cited by 94PDFcodeScholar