Search Results for author: Aadarsh Sahoo

Found 3 papers, 1 papers with code

Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing

no code implementations NeurIPS 2021 Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das

Unsupervised domain adaptation which aims to adapt models trained on a labeled source domain to a completely unlabeled target domain has attracted much attention in recent years.

Contrastive Learning Unsupervised Domain Adaptation +1

Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation

no code implementations6 Dec 2020 Aadarsh Sahoo, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das

Partial domain adaptation which assumes that the unknown target label space is a subset of the source label space has attracted much attention in computer vision.

Partial Domain Adaptation

Mitigating Dataset Imbalance via Joint Generation and Classification

1 code implementation12 Aug 2020 Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogerio Feris, Abir Das

In this work we address these questions from the perspective of dataset imbalance resulting out of severe under-representation of annotated training data for certain classes and its effect on both deep classification and generation methods.

Classification General Classification

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