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Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis. (arXiv:2207.14491v1 [cs.CV])
Aug. 1, 2022, 1:12 a.m. | Chaerin Kong, Nojun Kwak
cs.CV updates on arXiv.org arxiv.org
The capacity to learn incrementally from an online stream of data is an
envied trait of human learners, as deep neural networks typically suffer from
catastrophic forgetting and stability-plasticity dilemma. Several works have
previously explored incremental few-shot learning, a task with greater
challenges due to data constraint, mostly in classification setting with mild
success. In this work, we study the underrepresented task of generative
incremental few-shot learning. To effectively handle the inherent challenges of
incremental learning and few-shot learning, we …
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