Zixiang Lu

MLNet: Mutual Learning Network to Improve Self-Supervised Representation for Fine-Grained Visual Recognition

High-quality annotation of fine-grained visual categorization requires extensive professional knowledge, which is time-consuming and laborious. Therefore, learning fine-grained visual representations from a large number of unlabeled images through self-supervised learning has become a popular altern…