Unsupervised Adaptation of Semantic Segmentation Models without Source Data

no code implementations • 4 Dec 2021 • Sujoy Paul, Ansh Khurana, Gaurav Aggarwal

Unsupervised domain adaptation aims to adapt a model learned on the labeled source data, to a new unlabeled target dataset.

Semantic Segmentation Test-time Adaptation +1

SITA: Single Image Test-time Adaptation

no code implementations • 4 Dec 2021 • Ansh Khurana, Sujoy Paul, Piyush Rai, Soma Biswas, Gaurav Aggarwal

In Test-time Adaptation (TTA), given a source model, the goal is to adapt it to make better predictions for test instances from a different distribution than the source.

Test-time Adaptation

Multi-Stage Fusion for One-Click Segmentation

no code implementations • 19 Oct 2020 • Soumajit Majumder, Ansh Khurana, Abhinav Rai, Angela Yao

Segmenting objects of interest in an image is an essential building block of applications such as photo-editing and image analysis.

Instance Segmentation Interactive Segmentation +2