no code implementations • 20 Sep 2020 • Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu
The framework exploits prior knowledge to guide adaptive information propagation among different categories to facilitate multi-label analysis and reduce the dependency of training samples.
Few-Shot Learning Multi-label Image Recognition with Partial Labels
1 code implementation • 21 Nov 2019 • Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin
In this work, we represent the semantic correlations in the form of structured knowledge graph and integrate this graph into deep neural networks to promote few-shot learning by a novel Knowledge Graph Transfer Network (KGTN).
2 code implementations • ICCV 2019 • Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin
Recognizing multiple labels of images is a practical and challenging task, and significant progress has been made by searching semantic-aware regions and modeling label dependency.
Ranked #8 on Multi-Label Classification on PASCAL VOC 2007