6 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.CV2019
Bias-Aware Heapified Policy for Active Learning
Wen-Yen Chang, Wen-Huan Chiang, Shao-Hao Lu +2
The data efficiency of learning-based algorithms is more and more important since high-quality and clean data is expensive as well as hard to collect. In order to achieve high mode…
cs.CV2019★ 6 cited
360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images
Shih-Han Chou, Cheng Sun, Wen-Yen Chang +3
While there are several widely used object detection datasets, current computer vision algorithms are still limited in conventional images. Such images narrow our vision in a restr…
cs.CV2018
Leveraging Motion Priors in Videos for Improving Human Segmentation
Yu-Ting Chen, Wen-Yen Chang, Hai-Lun Lu +2
Despite many advances in deep-learning based semantic segmentation, performance drop due to distribution mismatch is often encountered in the real world. Recently, a few domain ada…