19 citations · 21 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 2 cited
Domain Adaptation Using Pseudo Labels
Sachin Chhabra, Hemanth Venkateswara, Baoxin Li
In the absence of labeled target data, unsupervised domain adaptation approaches seek to align the marginal distributions of the source and target domains in order to train a class…
cs.LG2022★ 19 cited
Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation
Sandipan Choudhuri, Hemanth Venkateswara, Arunabha Sen
In contrast to a standard closed-set domain adaptation task, partial domain adaptation setup caters to a realistic scenario by relaxing the identical label set assumption. The fact…