Texel-Att

This repository contains instruction to download ElBa dataset and it will soon contains code of Texel-Att framework.

Accepted and presented at BMVC 2019! paper link.

Texel-Att framework code

Code will be available soon!

Code

For the bounding boxes and masks extraction, please train one of the architectures available for MaskRCNN(we use the one with Resnet50 backbone) on ElBa dataset (the annotations are already in COCO format).

Once the detections are extracted, run the matlab code in the following order:

• computeAttributes.m
• computeAggregatePerClassAttribute.m

For the relative attributes' experiment, please use the official code published by the authors: https://www.cc.gatech.edu/~parikh/relative.html.

ElBa dataset

ElBa dataset is available to download.

Zip file contains the training and testing set images folders.

Boxes and masks annotations are provided in COCO format as json files.

Citation

If you use Texel-Att or Elba dataset in your research or wish to refer to the results published in the paper, please use the following BibTeX entry.

@article{godi2019texelatt,
  title={Texel-Att: Representing and Classifying Element-based Textures by Attributes},
  author={Godi, Marco and Joppi, Christian and Giachetti, Andrea and Pellacini, Fabio and Cristani, Marco},
  year={2019}
}