Awesome

A-Lamp

Implementation of the paper: A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment

The work is split up in 3 main parts :

• Multi-Patch Subnet :
  • Adaptive Patch Selection
  • Orderless Aggregation layer
• Layout Aware Subnet

In addition, is included the Exploratory Data Analysis of the AVA Dataset.

Model weights: https://drive.google.com/open?id=1Pmw0IbE9Cfy-LOq7f2wngxcZqL3dW4Xv

Work done as part of PRIM project.

Team members : Fabiola Espinoza, Guillaume Balezo & Simon Albergel