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MOPCNN

Code for Multi-scale Orderless Pooling of Deep Convolutional Activation Features

Install / Use

/learn @cookyecat/MOPCNN
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

This code is from https://dl.dropboxusercontent.com/u/226877812/MOP-CNN/mop.htm The original content:

This code contains two folders

  1. feature extraction: extracts deep activations for image patches
  2. pooling: pools these patches into a global vector

Please read readme in each folder to get details.

This code is based on the following paper:

Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik. Multi-scale orderless pooling of deep convolutional activation features. ECCV 2014.

View on GitHub
GitHub Stars13
CategoryDevelopment
Updated1y ago
Forks4

Languages

Matlab

Security Score

60/100

Audited on Nov 15, 2024

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