原创 人臉識別論文:VarGFaceNet:VarGFaceNet: An Efficient Variable Group Convolutional Neural Network及其PyTorch實現

VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition PDF: https:/

原创 注意力機制論文:GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond及其PyTorch實現

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond PDF: https://arxiv.org/pdf/1904.11492.pdf PyT

原创 Attention論文:CBAM: Convolutional Block Attention Module及其PyTorch實現

CBAM: Convolutional Block Attention Module PDF: https://arxiv.org/pdf/1807.06521.pdf PyTorch代碼: https://github.com/

原创 PyTorch實現的DenseNet

Densely Connected Convolutional Networks PDF: https://arxiv.org/pdf/1608.06993.pdf PyTorch代碼: https://github.com/sh

原创 PyTorch實現的ResNeXt

Aggregated Residual Transformations for Deep Neural Networks PDF: https://arxiv.org/pdf/1611.05431.pdf PyTorch代碼: h

原创 ncnn之七:ncnn量化(post-training quantization)三部曲 - ncnn2table

量化步驟 Input: FP32 histogram H with 2048 bins: bin[ 0 ], …, bin[ 2047 ] For i in range( 128 , 2048 ): reference_

原创 ncnn之二:Linux環境下ncnn安裝+protobuf+opencv

ncnn之二:Linux環境下ncnn安裝+protobuf+opencv 1 安裝g++ $ sudo apt-get install build-essential 2 安裝cmake # 下載地址: https://cma

原创 ncnn之六:ncnn量化(post-training quantization)三部曲 - ncnnoptimize

1 NetOptimize 定義類 NetOptimize 用於優化網絡結構 class NetOptimize : public ncnn::Net { public: // 0=fp32 1=fp16 int

原创 ncnn之八:ncnn量化(post-training quantization)三部曲 - ncnn2int8

1 read_calibration_data 讀入量化表數據 輸入: 張量級量化(tensor-wise), 一個張量指定一個 scale; 權重: 通道級量化 (channel-wise), 爲每一個通道(輸出通道)指定一個

原创 深度學習論文: DeepShift: Towards Multiplication-Less Neural Networks

DeepShift: Towards Multiplication-Less Neural Networks PDF: https://arxiv.org/pdf/1905.13298.pdf PyTorch代碼: https:/

原创 ncnn之三:window環境下vs2015安裝ncnn+protobuf+opencv

ncnn之三:window10+vs2015+opencv4.1.1+protobuf+ncnn protobuf $ git clone [email protected]:protocolbuffers/protobuf.git $

原创 ncnn之五:參數和模型文件結構

net.param 7767517 # magic number 158 183 # [layer count] [blob count] # [layer type] [layer name] [input count] [ou

原创 C語言實現的 Kanade-Lucas-Tomasi Feature(KLT) Tracker

1 KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tracker http://cecas.clemson.edu/~stb/klt/ 2 KFAST is t

原创 深度學習面試100題

深度學習面試100題(第1-5題):經典常考點CNN https://zhuanlan.zhihu.com/p/39185031 深度學習面試100題(第6-10題) https://zhuanlan.zhihu.com/p/39

原创 CSDN2019年度博客之星總評選,請大家多多支持,每人每天可以投五票!!!!!!

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