4. CNNs network architecture - depth separable convolution (MobileNet v1, MobileNet v2, MobileNet v3, Xception, ShuffleNet v1, ShuffleNet v2) - Code World

4. CNNs network architecture - depth separable convolution (MobileNet v1, MobileNet v2, MobileNet v3, Xception, ShuffleNet v1, ShuffleNet v2)

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Origin blog.csdn.net/damadashen/article/details/130871245

4. CNNs network architecture - depth separable convolution (MobileNet v1, MobileNet v2, MobileNet v3, Xception, ShuffleNet v1, ShuffleNet v2)

mobilenet v1 \ v2 \ v3

【MobileNet】MobileNet V1

MobileNet network model (V1, V2, V3)

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【MobileNet V2】MobileNet V2

From Inception v1, v2, v3, v4, RexNeXt to Xception to MobileNets, ShuffleNet, MobileNetV2

[Semantic Segmentation] DeepLab v3+ (DeepLab v3 Plus, Backbone, Xception, MobileNet v2, Encoder, Decoder, ASPP, multi-scale fusion, dilated convolution)

Manual design of CNN model and NAS analysis summary for Mobile device, MobileNet V1, V2, V3, Efficient, MnasNet and Efficient network design

CNN lightweight model mobilenet v1

Paper sharing | mobilenet v1 of lightweight network

【CNN】ShuffleNet series (V1, V2)

深度学习-MobileNet(v1、v2)网络详解

MobileNet V2 model - pytorch implementation

Improved YOLOv5: MobileNEtv2, v3 articles **Must increase points | Innovative and practical | Unified lightweight backbone network, including FastNet, ShuffleNet, mobileNet, Ghostnet, etc.

Lesson 8: Learning ShuffleNet v1 and ShuffleNet v2

2. CNNs network architecture - convolution separation network architecture (VGGNet, GoogLeNet, GoogleNet v2, GoogleNet v3, GoogleNet v4, Inception-ResNet)

Classic lightweight neural network (1) MobileNet V1 and its application on the Fashion-MNIST data set

[Week 4] MobileNet_ShuffleNet

4. CNN 네트워크 아키텍처 - 깊이 분리 가능한 컨볼루션(MobileNet v1, MobileNet v2, MobileNet v3, Xception, ShuffleNet v1, ShuffleNet v2)

4. CNN ネットワークアーキテクチャ - 深さ分離可能な畳み込み (MobileNet v1、MobileNet v2、MobileNet v3、Xception、ShuffleNet v1、ShuffleNet v2)

4. CNN 네트워크 아키텍처 - 깊이 분리 가능한 컨볼루션(MobileNet v1, MobileNet v2, MobileNet v3, Xception, ShuffleNet v1, ShuffleNet v2)

4. CNN 네트워크 아키텍처 - 깊이 분리 가능한 컨볼루션(MobileNet v1, MobileNet v2, MobileNet v3, Xception, ShuffleNet v1, ShuffleNet v2)

4. CNN 네트워크 아키텍처 - 깊이 분리 가능한 컨볼루션(MobileNet v1, MobileNet v2, MobileNet v3, Xception, ShuffleNet v1, ShuffleNet v2)

Lightweight network: MobileNet-V2 (reproduced)

Eine beliebte Erklärung für Deep-Learning-Leichtnetzwerke MobileNet-v1/v2/v3

MobileNet V3 model - pytorch implementation

Detailed MobileNet-v3

PyTorch realize the depth of separable convolution (to MobileNet for example)

Another new member of the mobilenet series ---mobilenet-v3

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