39 citations · 39 across the 1 of their papers we have counts for
3 papers
cs.CV2021★ 39 cited
Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation
Rumeng Yi, Yaping Huang, Qingji Guan +2
This paper addresses semi-supervised semantic segmentation by exploiting a small set of images with pixel-level annotations (strong supervisions) and a large set of images with onl…
cs.CV2019
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features
Runsheng Zhang, Yaping Huang, Mengyang Pu +4
TThe goal of our work is to discover dominant objects in a very general setting where only a single unlabeled image is given. This is far more challenge than typical co-localizatio…
cs.CV2019
Unsupervised Part Mining for Fine-grained Image Classification
Runsheng Zhang, jian zhang, Yaping Huang +1
Fine-grained image classification remains challenging due to the large intra-class variance and small inter-class variance. Since the subtle visual differences are only in local re…