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cs.CV2024
Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation
Jihwan Kwak, Sungmin Cha, Taesup Moon
This paper addresses the unrealistic aspect of the commonly adopted Continuous Incremental Semantic Segmentation (CISS) scenario, termed overlapped. We point out that overlapped al…
cs.CV2020
SS-IL: Separated Softmax for Incremental Learning
Hongjoon Ahn, Jihwan Kwak, Subin Lim +3
We consider class incremental learning (CIL) problem, in which a learning agent continuously learns new classes from incrementally arriving training data batches and aims to predic…