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Higher-order Integration of Hierarchical Convolutional Activations for Fine-grained Visual Categorization
The implementation of “Higher-order Integration of Hierarchical Convolutional Activations for Fine-grained Visual Categorization” by Sijia Cai, Wangmeng Zuo and Lei Zhang.
- Ubuntu 14.04
- NVIDIA GeForce GTX TITAN X
- MatConvNet (v1.0-beta20)
- First you need to download the FGVC datasets (CUB,AircraftandCars) and unzip them into the folder “./datasets”
- Download the pretrainedVGG16 model and put it into the folder “./models/pretrained_models”
- Compile MatConvNet with GPU and the cuDNN support
- Train: run hihca_main.m by setting runPhase=train
- Test: run hihca_main.m by setting runPhase=test
If you find the codes of this repository useful, please cite the following paper:
`@inproceedings{cai2017higher, title={Higher-Order Integration of Hierarchical Convolutional Activations for Fine-Grained Visual Categorization}, author={Cai, Sijia and Zuo, Wangmeng and Zhang, Lei}, booktitle={Proceedings of International Conference on Computer Vision}, pages={511--520}, year={2017}}`
For any question, please contact
`cssjcai@gmail.com