Yet another Computer Vision Library? No!

最新推荐文章于 2025-06-18 17:27:21 发布

windtalkersm

最新推荐文章于 2025-06-18 17:27:21 发布

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本文介绍了现代计算机视觉库CCV，详细讨论了四种流行的卷积神经网络（CNN），包括AlexNet、MattNet、AlexNet14以及VGG-D模型，并对比了这些网络之间的差异。同时，还探讨了网络拓扑、数据准备与增强等关键主题。

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History

Introduction

CCV : A Modern Computer Vision Library

Learning Curve

ConvNet

Everything is here:

ConvNet: Deep Convolutional Networks

Four popular CNNs

[AlexNet 12] ImageNet Classification with Deep Convolutional Neural Networks, Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton, NIPS 2012
[MattNet] Visualizing and Understanding Convolutional Networks, Matthew D. Zeiler, and Rob Fergus, Arxiv 1311.2901 (Nov 2013)
[AlexNet 14] One Weird Trick for Parallelizing Convolutional Neural Networks, Alex Krizhevsky, ICLR 2014 alex14
[VGG-D model trained] Very Deep Convolutional Networks for Large-Scale Image Recognition, Karen Simonyan, Andrew Zisserman, ICLR 2015