Deep Co-occurrence Feature Learning for Visual Object Recognition

Ya-Fang Shih*, Yang-Ming Yeh*, Yen-Yu Lin, Ming-Fang Weng, Yi-Chang Lu, Yung-Yu Chuang
(CVPR 2017)

.
├── src/                  
├── data/                   
│   ├── cub/          
│   └── models/         
├── exp/                   
│   ├── cub-imdb.mat
│   ├── deep_cooc_models/         
│   └── feature_maps/        
├── from-bcnn-package/                  
├── matconvnet/               
└── vlfeat/                 

Installation

1. clone the Deep-COOC repository
2. follow the intructions to install matconvnet
3. download vlfeat toolbox, and put the files into vlfeat/
4. download CUB-200-2011 dataset, and put the files into data/cub/
5. download ImageNet-pretrained CNN models (in our experiments, we used the imagenet-resnet-152-dag model), and put them into data/models/
6. run src/main.m