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Generative Feature Replay For Class-Incremental Learning.

, , , , , , , and . CVPR Workshops, page 915-924. Computer Vision Foundation / IEEE, (2020)

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Memory Replay GANs: learning to generate images from new categories without forgetting., , , , , and . CoRR, (2018)Memory Replay GANs: Learning to Generate New Categories without Forgetting., , , , , and . NeurIPS, page 5966-5976. (2018)Density Map Distillation for Incremental Object Counting., and . CVPR Workshops, page 2506-2515. IEEE, (2023)Generative Feature Replay For Class-Incremental Learning., , , , , , , and . CVPR Workshops, page 915-924. Computer Vision Foundation / IEEE, (2020)Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification., , , , , , and . BMVC, page 38. BMVA Press, (2022)MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains., , , , , , and . CoRR, (2021)MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains., , , , , , , and . Int. J. Comput. Vis., 132 (2): 490-514 (February 2024)Transferring GANs: Generating Images from Limited Data., , , , , and . ECCV (6), volume 11210 of Lecture Notes in Computer Science, page 220-236. Springer, (2018)