3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.MM2022
Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval
Xiao Dong, Xunlin Zhan, Yunchao Wei +5
Our goal in this research is to study a more realistic environment in which we can conduct weakly-supervised multi-modal instance-level product retrieval for fine-grained product c…
cs.CV2022★ 1 cited
Conceptor Learning for Class Activation Mapping
Guangwu Qian, Zhen-Qun Yang, Xu-Lu Zhang +3
Class Activation Mapping (CAM) has been widely adopted to generate saliency maps which provides visual explanations for deep neural networks (DNNs). The saliency maps are conventio…
cs.CV2021★ 3 cited
M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining
Xiao Dong, Xunlin Zhan, Yangxin Wu +6
Despite the potential of multi-modal pre-training to learn highly discriminative feature representations from complementary data modalities, current progress is being slowed by the…