Skip to content
Deep Co-occurrence Feature Learning for Visual Object Recognition (CVPR 2017)
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
data/models add pretrained model link May 14, 2017
from-bcnn-package initial commit May 14, 2017
matconvnet @ 4ce2871 move matconvnet to v1.0-beta23 May 14, 2017
src remove insertBNlayer May 15, 2017
.gitmodules move matconvnet to v1.0-beta23 May 14, 2017
README.md Update README.md May 15, 2017

README.md

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
You can’t perform that action at this time.