Shufflenet V2 Practical Guidelines For Efficient Cnn Architecture Design

Shufflenet V2 Practical Guidelines For Efficient Cnn Architecture Design Taking these factors into account this work proposes practical guidelines for efficient network de sign Accordingly a new architecture called ShuffleNet V2 Based on a series of controlled experiments this work derives several practical guidelines for efficient network design Accordingly a new ShuffleNet V2 Practical Guidelines for Efficient CNN Architecture Design ECCV 2018 Ningning Ma Xiangyu Zhang Hai Tao Zheng Jian Sun

Shufflenet V2 Practical Guidelines For Efficient Cnn Architecture Design

reading-shufflenet-v2-practical-guidelines-for-e-fficient-cnn-architecture-design-image-classification-by-sik-ho-tsang-medium Shufflenet V2 Practical Guidelines For Efficient Cnn Architecture Design

shufflenet-v2-mmclassification-0-24-1-documentation
ShuffleNet V2 — MMClassification 0.24.1 documentation

1 1 Motivation 1 Architecture design is mostly guided by the indirect metric of computation complexity such as FLOPs 2 Direct metric such This work proposes to evaluate the direct metric on the target platform beyond only considering FLOPs and derives several practical guidelines for Indirect Metric Currently the neural network architecture design is mostly guided by the indirect metric of computation complexity i e FLOPs Direct Metric

Download Citation ShuffleNet V2 Practical Guidelines for Efficient CNN Architecture Design Currently the neural network architecture Based on a series of controlled experiments this work derives several practical guidelines for efficient network design Accordingly a new architecture is

pr-120-shufflenet-v2-practical-guidelines-for-efficient-cnn-architecture-design-youtube
PR-120: ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design - YouTube

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design - Ma - ECCV 2018 - CV Notes

shufflenet-v2-practical-guidelines-for-efficient-cnn-architecture-design-ma-eccv-2018-cv-notes ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design - Ma - ECCV 2018 - CV Notes

ShuffleNet V2 | Lecture 13 (Part 6) | Applied Deep Learning (Supplementary) - YouTube

shufflenet-v2-lecture-13-part-6-applied-deep-learning-supplementary-youtube ShuffleNet V2 | Lecture 13 (Part 6) | Applied Deep Learning (Supplementary) - YouTube

Ningning Ma Xiangyu Zhang Hai Tao Zheng Jian Sun ShuffleNet V2 Practical Guidelines for Efficient CNN Architecture Design The ShuffleNet V2 model is based on the ShuffleNet V2 Practical Guidelines for Efficient CNN Architecture Design paper Model builders The following model Tensorflow KR Season2 120 ShuffleNet V2 review