93 citations · 112 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 93 cited
Learning Semantically Enhanced Feature for Fine-Grained Image Classification
Wei Luo, Hengmin Zhang, Jun Li +1
We aim to provide a computationally cheap yet effective approach for fine-grained image classification (FGIC) in this letter. Unlike previous methods that rely on complex part loca…
cs.CV2019★ 17 cited
Cross-X Learning for Fine-Grained Visual Categorization
Wei Luo, Xitong Yang, Xianjie Mo +5
Recognizing objects from subcategories with very subtle differences remains a challenging task due to the large intra-class and small inter-class variation. Recent work tackles thi…
cs.LG2013★ 2 cited
Unsupervised Pretraining Encourages Moderate-Sparseness
Jun Li, Wei Luo, Jian Yang +1
It is well known that direct training of deep neural networks will generally lead to poor results. A major progress in recent years is the invention of various pretraining methods…