38 citations · 80 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 13 cited
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition
Tianshui Chen, Liang Lin, Riquan Chen +2
Recognizing multiple labels of an image is a practical yet challenging task, and remarkable progress has been achieved by searching for semantic regions and exploiting label depend…
cs.CV2019★ 38 cited
Knowledge Graph Transfer Network for Few-Shot Recognition
Riquan Chen, Tianshui Chen, Xiaolu Hui +3
Few-shot learning aims to learn novel categories from very few samples given some base categories with sufficient training samples. The main challenge of this task is the novel cat…
cs.CV2019★ 29 cited
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
Tianshui Chen, Muxin Xu, Xiaolu Hui +2
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.…