Decision Boundary-aware Knowledge Consolidation Generates Better
Instance-Incremental Learner
Decision Boundary-aware Knowledge Consolidation Generates Better
Instance-Incremental Learner
Instance-incremental learning (IIL) focuses on learning continually with data of the same classes. Compared to class-incremental learning (CIL), the IIL is seldom explored because IIL suffers less from catastrophic forgetting (CF). However, besides retaining knowledge, in real-world deployment scenarios where the class space is always predefined, continual and cost-effective model …