Zihu Wang*

On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition

"Self-Supervised Learning (SSL) has become a prominent approach for acquiring visual representations across various tasks, yet its application in fine-grained visual recognition (FGVR) is challenged by the intricate task of distinguishing subtle differences between categories. To overcome this, we i…