Jul 11, 2020 · This paper presents our approach, called Batch-level Experience Replay with Review, to this challenge. Our team achieved the 1'st place in all three scenarios.
This paper presents the approach, called Batch-level Experience Replay with Review, to the CVPR 2020 CLVision Continual Learning for Computer Vision ...
Jul 11, 2020 · Abstract and Figures. Continual learning is a branch of deep learning that seeks to strike a balance between learning stability and plasticity.
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Batch-level Experience Replay with Review for Continual Learning [ pdf ] [ code ] [ Presentation ]. Zheda Mai, Hyunwoo Kim, Jihwan Jeong, Scott Sanner. In ...
Batch-level Experience Replay with Review for Continual Learning. Z Mai, H Kim, J Jeong, S Sanner. 1st place solution for CVPR2020 CLVision Challenge, 2020.
Jul 18, 2024 · In this paper, we present a comprehensive review of the recent progress of continual learning in computer vision.
Within biological systems, hippocampal replay has been proposed as a systems-level mechanism to reduce catastrophic forgetting and improve generalization, as in ...
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We then explain our proposed approach, dubbed Batch-level Experience Replay with Review. This chapter ends with empirical results in all the four competition ...
Jul 21, 2023 · In this paper, we introduce RECALL, a replay-enhanced method that greatly improves the plasticity of existing replay-based methods on new tasks.
5 days ago · In this work, we present an extensive and structured literature review and discuss how the Experience Replay (ER) technique has been fundamental ...