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Harkirat Singh Behl

2 accepted papers

2020

AutoSimulate: (Quickly) Learning Synthetic Data Generation

ECCV 2020poster

Simulation is increasingly being used for generating large labelled datasets in many machine learning problems. Recent methods have focused on adjusting simulator parameters with the goal of maximising accuracy on a validation task, usually relying on REINFORCE-like gradient estimators. However thes…

2020

Meta-Learning Deep Visual Words for Fast Video Object Segmentation

IROS 2020poster

Personal robots and driverless cars need to be able to operate in novel environments and thus quickly and efficiently learn to recognise new object classes. We address this problem by considering the task of video object segmentation. Previous accurate methods for this task finetune a model using th…

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