2 papers
cs.CV2025
Towards Training-Free Open-World Classification with 3D Generative Models
Xinzhe Xia, Weiguang Zhao, Yuyao Yan +4
3D open-world classification is a challenging yet essential task in dynamic and unstructured real-world scenarios, requiring both open-category and open-pose recognition. To addres…
cs.CV2024
Covariance-based Space Regularization for Few-shot Class Incremental Learning
Yijie Hu, Guanyu Yang, Zhaorui Tan +3
Few-shot Class Incremental Learning (FSCIL) presents a challenging yet realistic scenario, which requires the model to continually learn new classes with limited labeled data (i.e.…