Multi-level Collaborative Distillation Meets Global Workspace Model: A Unified Framework for OCIL 事件

Multi-level Collaborative Distillation Meets Global Workspace Model: A Unified Framework for OCIL arXiv:2508.08677v2 Announce Type: replace-cross Abstract: Online Class-Incremental Learning (OCIL) enables models to learn continuously from non-i.i.d. data streams. Since samples of the data streams can be seen only once, it is more suitable for real-world scenarios compared to offline learning. However, this constraint intensifies the challenge for OCIL in maintaining an appropriate balance betwe