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Status: Unchecked ×Keyword: attention modules ×Clear all

2 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Pick-or-Mix: Dynamic Channel Sampling for ConvNets

   Kumar, Kim, Park and Behera · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2024

   The paper proposes Pick-or-Mix (PiX), a module that dynamically samples channels in convolutional networks, and reports uses in speeding up networks, learning representations, downscaling and dynamic channel pruning.

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   1. UncheckedSwapping ResNet's 1x1 channel-squeezing layers for the PiX module makes the network 25% faster with no loss of accuracy, the paper reports.“After replacing 1x1 channel squeezing layers in ResNet with PiX, the network becomes 25% faster without losing accuracy.”
   2. UncheckedThe authors report that their PiX module reaches state-of-the-art results on network downscaling and dynamic channel pruning tasks.“We also show that PiX achieves state-of-the-art performance on network downscaling and dynamic channel pruning applications.”