18 citations · 19 across the 3 of their papers we have counts for
4 papers
Unsupervised Person Re-Identification with Multi-Label Learning Guided Self-Paced Clustering
Qing Li, Xiaojiang Peng, Yu Qiao +1
Although unsupervised person re-identification (Re-ID) has drawn increasing research attention recently, it remains challenging to learn discriminative features without annotations…
Suppressing Mislabeled Data via Grouping and Self-Attention
Xiaojiang Peng, Kai Wang, Zhaoyang Zeng +3
Deep networks achieve excellent results on large-scale clean data but degrade significantly when learning from noisy labels. To suppressing the impact of mislabeled data, this pape…
Learning Category Correlations for Multi-label Image Recognition with Graph Networks
Qing Li, Xiaojiang Peng, Yu Qiao +1
Multi-label image recognition is a task that predicts a set of object labels in an image. As the objects co-occur in the physical world, it is desirable to model label dependencies…
Product Image Recognition with Guidance Learning and Noisy Supervision
Qing Li, Xiaojiang Peng, Liangliang Cao +3
This paper considers recognizing products from daily photos, which is an important problem in real-world applications but also challenging due to background clutters, category dive…