# A-Lamp

**Repository Path**: breakbrain/A-Lamp

## Basic Information

- **Project Name**: A-Lamp
- **Description**: Implementation of the paper: A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-10-07
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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