45 citations · 65 across the 5 of their papers we have counts for
5 papers
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval
Jianfeng Dong, Xiaoman Peng, Zhe Ma +5
Attribute-specific fashion retrieval (ASFR) is a challenging information retrieval task, which has attracted increasing attention in recent years. Different from traditional fashio…
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning
Chaofan Chen, Xiaoshan Yang, Changsheng Xu +2
Recently, the transductive graph-based methods have achieved great success in the few-shot classification task. However, most existing methods ignore exploring the class-level know…
Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning
Jianfeng Dong, Zhe Ma, Xiaofeng Mao +4
This paper strives to predict fine-grained fashion similarity. In this similarity paradigm, one should pay more attention to the similarity in terms of a specific design/attribute…
Hierarchical Similarity Learning for Language-based Product Image Retrieval
Zhe Ma, Fenghao Liu, Jianfeng Dong +3
This paper aims for the language-based product image retrieval task. The majority of previous works have made significant progress by designing network structure, similarity measur…
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network
Zhe Ma, Jianfeng Dong, Yao Zhang +4
This paper strives to learn fine-grained fashion similarity. In this similarity paradigm, one should pay more attention to the similarity in terms of a specific design/attribute am…