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by GoogleAI on 2019-05-29 (UTC).

EfficientNet is an open source library that uses a new compound model scaling method and leverages recent progress in #AutoML to improve #neuralnetwork scaling techniques, achieving state-of-the-art accuracy with up to 10x better efficiency. Learn more ↓ https://t.co/g1fPbxRFev

— Google AI (@GoogleAI) May 29, 2019
researchcv
by alxndrkalinin on 2019-05-31 (UTC).

#Keras re-implementation of EfficientNet: https://t.co/8BEh92QIXE
- EfficientNet-B1 is 7.6x smaller and 5.7x faster on CPU inference than ResNet-152
- EfficientNet-B4 improves the top-1 accuracy from 76.3% of ResNet-50 to 82.6% (+6.3%), under similar FLOPS constraint pic.twitter.com/ZhQiDK8Itw

— Alexandr Kalinin (@alxndrkalinin) May 31, 2019
cvresearchw_codetensorflow
by pythontrending on 2019-06-01 (UTC).

EfficientNet-PyTorch - A PyTorch implementation of EfficientNet https://t.co/T2dstHaYPG

— Python Trending (@pythontrending) June 1, 2019
pytorchw_coderesearch
by pythontrending on 2019-06-02 (UTC).

EfficientNets-PyTorch - A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks." https://t.co/bCELHMShlx

— Python Trending (@pythontrending) June 2, 2019
pytorch

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