• Python 3.6 [+]
• Pytorch 1.0
• Ubuntu 16.04
• CUDA 8.0 [+]

• Compact Bilinear Pooling (thanks very much)

     https://github.com/gdlg/pytorch_compact_bilinear_pooling

• add the models module to the system environment, e.g.,

     export PYTHONPATH=$PYTHONPATH:/home1/xcd/program/I-am-Fine/models

• Run the python file in Main folders, e.g.,

     python baseline_classification_main.py

• Bilinear CNN Models for Fine-grained Visual Recognition. CVPR, 2015
• Compact Bilinear Pooling. CVPR, 2016

1. Generating Attention from Classifier Activations for Fine-grained Recognition. arXiv, 2018-11
2. Learning to Navigate for Fine-grained Classification. ECCV, 2018 (code)
3. Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up. arXiv, 2019-3
4. Guided Zoom: Questioning Network Evidence for Fine-grained Classification. arXiv, 2018-12
5. Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-grained Image Recognition. CVPR, 2017
6. See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification. arXiv, 2019-3
7. Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CVPR, 2018 (code)