"Progressive Meta-Pooling Learning for Lightweight Image Classification Model. (arXiv:2301.10038v1 [cs.CV])" — A framework to make the receptive field learnable for a lightweight network, unlike the conventional efficient learning methods which ignore the role of the receptive field in neural network design, by using parameterized pooling-based operations.

Paper: http://arxiv.org/abs/2301.10038

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Overview of the proposed Meta-P…