3 citations · 3 across the 3 of their papers we have counts for
3 papers · 1 filter
ACE: Adaptive Confusion Energy for Natural World Data Distribution
Yen-Chi Hsu, Cheng-Yao Hong, Wan-Cyuan Fan +3
With the development of deep learning, standard classification problems have achieved good results. However, conventional classification problems are often too idealistic. Most dat…
Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects
Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen +1
This paper presents a "learning to learn" approach to figure-ground image segmentation. By exploring webly-abundant images of specific visual effects, our method can effectively le…
SwipeCut: Interactive Segmentation with Diversified Seed Proposals
Ding-Jie Chen, Hwann-Tzong Chen, Long-Wen Chang
Interactive image segmentation algorithms rely on the user to provide annotations as the guidance. When the task of interactive segmentation is performed on a small touchscreen dev…