Awesome Deep Vision  A curated list of deep learning resources for computer vision, inspired by awesome-php and awesome-computer-vision. Maintainers - Jiwon Kim, Heesoo Myeong, Myungsub Choi, Jung Kwon Lee, Taeksoo Kim We are looking for a maintainer…

CNN综述文章 的翻译 [2019 CVPR] A Survey of the Recent Architectures of Deep Convolutional Neural Networks 翻译 综述深度卷积神经网络架构:从基本组件到结构创新 目录 摘要    1.引言    2.CNN基本组件        2.1 卷积层        2.2 池化层        2.3 激活函数        2.4 批次归一化        2.5 Dropout        2.6 全连接层…

Index Awesome 备注 1 Awesome Machine Learning 机器学习资源大全中文版 2 Awesome Artificial Intelligence 人工智能 3 Awesome AwesomenessAwesome Awesome的平方,还有个立方但是不经典 4 Awesome Deep Learning 深度学习 5 Awesome Very Deep Learning 非常深的深度学习 6 Applied Deep Learning Resources 深度学…

各种Awesome技术资源的资源聚合: https://github.com/sindresorhus/awesome Contents Platforms Programming Languages Front-End Development Back-End Development Computer Science Big Data Theory Books Editors Gaming Development Environment Entertainment Databases Medi…

From: 目标跟踪方法的发展概述 From: 目标跟踪领域进展报告 通用目标的跟踪 经典目标跟踪方法 2010 年以前,目标跟踪领域大部分采用一些经典的跟踪方法,比如 Meanshift.Particle Filter 和 Kalman Filter,以及基于特征点的光流算法等. Meanshift 方法是一种基于概率密度分布的跟踪方法,使目标的搜索一直沿着概率梯度上升的方向,迭代收敛到概率密度分布的局部峰值上.首先 Meanshift 会对目标进行建模,比如利用目标的颜色分布来描述目标,然后…

Awesome系列 Awesome Machine Learning Awesome Deep Learning Awesome TensorFlow Awesome TensorFlow Implementations Awesome Torch Awesome Computer Vision Awesome Deep Vision Awesome RNN Awesome NLP Awesome AI Awesome Deep Learning Papers Awesome 2vec Deep…

Curated list of awesome lists https://awesomeweekly.co https://github.com/sindresorhus/awesome ✨ Prelaunching the Awesome Weekly newsletter! ✨ Vote it up on Product Hunt What is an awesome list?    Contribution guide    Creating a list    Sticker Jus…

说明: 这个合辑里面的论文不全是Image Caption, 但大多和Image Caption相关, 同时还有一些Workshop论文. Guiding Long-Short Term Memory for Image Caption Generation (ICCV 2015) Highlight: Beam Search with Length Normalization From Captions to Visual Concepts and Back (CVPR 2015) Highl…

  论文链接:Going deeper with convolutions 代码下载: Abstract We propose a deep convolutional neural network architecture codenamed Inception that achieves the (ILSVRC14). The main hallmark of this architecture is the improved utilization of the computing res…

Deep Learning Methods for Vision CVPR 2012 Tutorial  9:00am-5:30pm, Sunday June 17th, Ballroom D (Full day) Rob Fergus (NYU), Honglak Lee (Michigan), Marc'Aurelio Ranzato (Google) Ruslan Salakhutdinov(Toronto), Graham Taylor(Guelph), Kai Yu(Baidu)  O…