no code implementations • ECCV 2018 • Yu-Ting Chen, Wen-Yen Chang, Hai-Lun Lu, Ting-Fan Wu, Min Sun
Recently, a few domain adaptation and active learning approaches have been proposed to mitigate the performance drop.
no code implementations • 3 Oct 2019 • Shih-Han Chou, Cheng Sun, Wen-Yen Chang, Wan-Ting Hsu, Min Sun, Jianlong Fu
In this paper, our goal is to provide a standard dataset to facilitate the vision and machine learning communities in 360{\deg} domain.
no code implementations • 18 Nov 2019 • Wen-Yen Chang, Wen-Huan Chiang, Shao-Hao Lu, Tingfan Wu, Min Sun
Last but not least, we investigate the generalization of the HAL policy learned on MNIST dataset by directly applying it on MNIST-M. We show that the agent can generalize and outperform directly-learned policy under constrained labeled sets.