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cs.CV2022★ 2 cited
Impact of Strategic Sampling and Supervision Policies on Semi-supervised Learning
Shuvendu Roy, Ali Etemad
In semi-supervised representation learning frameworks, when the number of labelled data is very scarce, the quality and representativeness of these samples become increasingly impo…
cs.CV2022
Temporal Contrastive Learning with Curriculum
Shuvendu Roy, Ali Etemad
We present ConCur, a contrastive video representation learning method that uses curriculum learning to impose a dynamic sampling strategy in contrastive training. More specifically…
cs.CV2022
Analysis of Semi-Supervised Methods for Facial Expression Recognition
Shuvendu Roy, Ali Etemad
Training deep neural networks for image recognition often requires large-scale human annotated data. To reduce the reliance of deep neural solutions on labeled data, state-of-the-a…