Paper at CVPR 2019

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Our work on domain adapation of object detectors using unlabeled video is accepted at CVPR 2019. It provides a straight-forward way to adapt to novel domains with minimal dependence on hyper-parameters or a labeled validation set. This is a follow up of our earlier work at ECCV 2018 that mined unlabeled videos to automatically collect hard examples for object detectors.

A big shout-out to everyone who made this possible - Prithvijit, Ashish, Huaizu, SouYoung and of course our professors Liangliang and Erik.

For details please check the project page

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