This paper addresses representational bottleneck in a network and propose a set of design principles that improves model performance significantly . Slight changes on baseline networks by following the principle leads to achieving remarkable performance improvements on ImageNet classification . Code and pretrained models are available at https://://://github.com/clovaai/rexnet and the code is available at http://www.clovai/xrexnet.org/xxnet.Code and training data are available to download at http://xoxnet.net.io/xaxnet.com.org. Code and training code are available in the works of Clovaai’s COCO object detection results and transfer learning results on several datasets

Links: PDF - Abstract

Code :

https://github.com/YeongHyeon/ReXNet-TF2
https://github.com/clovaai/rexnet

Keywords : code - rexnet - results - http - training -

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