ustc-vim / vegfru

VegFru: A Domain-Specific Dataset for Fine-grained Visual Categorization

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

VegFru

The repository is for the paper "VegFru: A Domain-Specific Dataset for Fine-grained Visual Categorization".

Download Links: [Paper] [Supplementary Material] [Project Page] [Download VegFru Dataset]

The VegFru dataset is available at here and this code is for the implementation of HybridNet.

./caffe-hybridnet: modified from Caffe (https://github.com/BVLC/caffe)
./hybridnet-dataset: the prototxt defining the models for each dataset (FGVC-Aircrafts)

Usage

cd caffe-hybridnet
sh data/jointaircrafts/model/v4_hyvggcpnet/ft_last_layer.sh
sh data/jointaircrafts/model/v4_hyvggcpnet/ft_all.sh

The pretrained models can be downloaded at here.

Citation

Please cite the following paper if you find this useful in your research:

@InProceedings{Hou2017VegFru,
  Title                    = {VegFru: A Domain-Specific Dataset for Fine-grained Visual Categorization},
  Author                   = {Saihui Hou, Yushan Feng and Zilei Wang},
  Booktitle                = {IEEE International Conference on Computer Vision},
  Year                     = {2017}
}

About

VegFru: A Domain-Specific Dataset for Fine-grained Visual Categorization

License:Apache License 2.0


Languages

Language:Jupyter Notebook 58.1%Language:C++ 33.0%Language:Python 3.8%Language:Cuda 2.6%Language:CMake 1.1%Language:Shell 0.4%Language:MATLAB 0.4%Language:Makefile 0.3%Language:C 0.1%Language:CSS 0.1%Language:HTML 0.1%Language:Dockerfile 0.0%