Class-Prompting Transformer for Incremental Semantic Segmentation
Zichen Song,
Zhaofeng Shi,
Chao Shang
et al.
Abstract:Class-incremental Semantic Segmentation (CISS) aims to learn new tasks sequentially that assign a specific category to each pixel of a given image while preserving the original capability to segment the old classes even if the labels of old tasks are absent. Most existing CISS methods suppress catastrophic forgetting by directly distilling on specific layers, which ignores the semantic gap between training data from the old and new classes with different distributions and leads to distillation errors, thus aff… Show more
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