Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation

3 Feb 2020Siqi YangLin WuArnold WiliemBrian C. Lovell

We present a novel approach to perform the unsupervised domain adaptation for object detection through forward-backward cyclic (FBC) training. Recent adversarial training based domain adaptation methods have shown their effectiveness on minimizing domain discrepancy via marginal feature distributions alignment... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper