06 2018 档案
Graph cut使用方法
摘要:下载:http://www.wisdom.weizmann.ac.il/~bagon/matlab.html 1. 运行compile_gc.m 2.运行gc_example.m(必须同目录吗?!) Graph cut using Matlab:https://stackoverflow.com/q
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熵
摘要:If a probability density p is known then image information content can be estimated regardless of its interpretation using entropy H. The concept of e
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Image Processing, Analysis & and Machine Vision - A MATLAB Companion
摘要:Contents目录 Chapter 0: Introduction to the companion book本辅导书简介 Chapter 1: Introduction 简介 Viewing an image: image_view_demo 查看一张图像:image_view_demo Cha
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图像处理与计算机视觉:基础,经典以及最近发展
摘要:一、 绪论 1. 为什么要写这篇文章 2. 图像处理和计算机视觉的分类:图像处理、图像分析和计算机视觉 3. 图像处理和计算机视觉开源库以及编程语言选择:C/C++、Matlab 4. 本文的特点和结构,以及适合的对象 二、 图像处理与计算机视觉相关的书籍 1. 数学 2. 信号处理 3. 模式识别
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LSTM(Long Short Term Memory)
摘要:从RNN到LSTM:https://link.jianshu.com/?t=http://colah.github.io/posts/2015-08-Understanding-LSTMs/ RNN, 通过RNN,信息可以向前传递。 但是,RNN有个缺点,就是当循环的间隔太长,梯度消失的问题。 按理
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Deep Visual-Semantic Alignments for Generating Image Descriptions(深度视觉-语义对应对于生成图像描述)
摘要:https://cs.stanford.edu/people/karpathy/deepimagesent/ Abstract We present a model that generates natural language descriptions of images and their re
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Recurrent Neural Network(递归神经网络)
摘要:递归神经网络(RNN),是两种人工神经网络的总称,一种是时间递归神经网络(recurrent neural network),另一种是结构递归神经网络(recursive neural network)。 min-char-rnn.py gist:112 lines of Python 简介: 人工
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SqueezeNet:AlexNet-level Accuracy with 50x fewer parameters and less than 0.5Mb model size
摘要:- Fire modules consisting of a 'squeeze' layer with 1*1 filters feeding an 'expand' layer with 1*1 and 3*3 filters(Fire模塊包含一個'1*1濾波器的'擠壓'層和一個1*1和3*3濾波
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Densely Connected Convolutional Networks(緊密相連卷積網絡)
摘要:- Dense blocks where each layer is connected to every other layer in feedforward fashion(緊密塊是指每一個層與每個其他層都以前向的方式相連接) - Alleviates vanishing gradient, s
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FractalNet(分形网络)
摘要:-Argues that key is transitioning effectively from shallow to deep and residual representations are not necessary(认为关键是有效地从浅到深,而残差表示方法是不必要的) -Fractal
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Network in Network(NiN)
摘要:- Mlpconv layer with "micronetwork" with each conv layer to compute more abstract features for local patches(带有“微网”的MLPCCONV层的每个CONV层计算局部补丁的更多抽象特征) -
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fatal error C1083: 无法打开包括文件:“psimpl_reference.h”: No such file or directory d:\documents\visual studio 2008\projects\test123\test123\test123dlg.cpp
摘要:psimpl - generic n-dimensional polyline simplification. psimpl is a lightweight C++ library that is generic, easy to use, and supports multiple simpli
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