EfficientNet swMATH ID: 39587 Software Authors: Mingxing Tan, Quoc V. Le Description: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource budget, and then scaled up for better accuracy if more resources are available. In this paper, we systematically study model scaling and identify that carefully balancing network depth, width, and resolution can lead to better performance. Based on this observation, we propose a new scaling method that uniformly scales all dimensions of depth/width/resolution using a simple yet highly effective compound coefficient. We demonstrate the effectiveness of this method on scaling up MobileNets and ResNet. To go even further, we use neural architecture search to design a new baseline network and scale it up to obtain a family of models, called EfficientNets, which achieve much better accuracy and efficiency than previous ConvNets. In particular, our EfficientNet-B7 achieves state-of-the-art 84.3 Homepage: https://arxiv.org/abs/1905.11946 Source Code: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet Related Software: ImageNet; PyTorch; CIFAR; Adam; GitHub; TensorFlow; AlexNet; BERT; MobileNetV2; ShuffleNet; Xception; MNIST; Keras; XNOR-Net; Inception-v4; StarGAN; SqueezeNet; SSD; darch; Python Cited in: 18 Publications all top 5 Cited by 61 Authors 1 Amerini, Irene 1 Anagnostopoulos, Aris 1 Baldassi, Carlo 1 Bhatt, Mehul 1 Celsi, Lorenzo Ricciardi 1 Chen, Guangke 1 Chen, Taolue 1 Demyanenko, Elizaveta 1 Ding, Wenrui 1 Doermann, David 1 Elmezain, Mahmoud 1 Feinauer, Christoph 1 Frazier-Logue, Noah 1 Gad, Ibrahim 1 Guo, Guodong 1 Hanson, Stephen José 1 Hare, Jonathon 1 Harris, Ethan 1 Hu, Jiawei 1 Hu, Yuan 1 Huan, Er-Yang 1 Hullermeier, Eyke 1 Imaizumi, Masaaki 1 Knoblauch, Andreas 1 Li, Kenli 1 Li, Keqin 1 Li, Zhengwei 1 Liang, Qiaokang 1 Liu, Chunlei 1 Liu, Jianzhuang 1 Lu, Maoying 1 Lucibello, Carlo 1 Maiano, Luca 1 Malki, Amer 1 Mihai, Daniela 1 Peng, Jianzhong 1 Perugini, Gabriele 1 Pittorino, Fabrizio 1 Puertas, Eloi 1 Pujol, Oriol 1 Rey, Camilo 1 Riera, Carles 1 Serra, Thiago R. 1 Song, Fu 1 Suchan, Jakob 1 Sun, Ruoyu 1 Sun, Wei 1 Szeliski, Richard 1 Tang, Zhuo 1 Varadarajan, Srikrishna 1 Waegeman, Willem 1 Wang, Yaonan 1 Wen, Guihua 1 Zecchina, Riccardo 1 Zhang, Baochang 1 Zhang, Chen 1 Zhang, Weiwei 1 Zhang, Yedi 1 Zhao, Zhe 1 Zhu, Wei 1 Zuo, Youfei all top 5 Cited in 15 Serials 2 Neural Computation 1 Artificial Intelligence 1 Journal of Computational Physics 1 Information Sciences 1 Machine Learning 1 International Journal of Computer Vision 1 Annals of Mathematics and Artificial Intelligence 1 International Journal of Applied Mathematics and Computer Science 1 Journal of Statistical Mechanics: Theory and Experiment 1 Mathematical Biosciences and Engineering 1 Computational & Mathematical Methods in Medicine 1 Foundations and Trends in Computer Graphics and Vision 1 Journal of the Operations Research Society of China 1 Journal of the Japan Statistical Society. Japanese Issue 1 Texts in Computer Science all top 5 Cited in 11 Fields 16 Computer science (68-XX) 3 Statistics (62-XX) 3 Information and communication theory, circuits (94-XX) 2 Biology and other natural sciences (92-XX) 1 Real functions (26-XX) 1 Special functions (33-XX) 1 Numerical analysis (65-XX) 1 Fluid mechanics (76-XX) 1 Statistical mechanics, structure of matter (82-XX) 1 Operations research, mathematical programming (90-XX) 1 Game theory, economics, finance, and other social and behavioral sciences (91-XX) Citations by Year