G en D is: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery
Xi Chen · Chuan Qin · Jinpeng Li · Shasha Hu · Chao Wang · Hengshu Zhu · Hui Xiong
摘要
Generalized Category Discovery (GCD) aims to identify both known and novel categories from partially labeled data, reflecting more realistic open-world learning scenarios. However, most existing methods rely solely on one-hot discriminative supervision, leading to overfitting on seen classes and...