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

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

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

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mobilenet v1 \ v2 \ v3

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

Inception-v1~v4

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Convolution-based image classification and recognition (4): GoogLeNet (V1~V4 & Xception)

MobileNet network model (V1, V2, V3)

My understanding of DeepLab V3 (based on V1 and V2)

MobileNet v1 v2 v3 network detailed explanation notes

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

基于视频学习ShuffleNet与V2的网络结构

Inception v1 v2 v3

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