- 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
| Algorithm | CUB-200-2011 (%) | Stanford Cars (%) | Stanford Dogs (%) | FGVC-Aircraft (%) |
|---|---|---|---|---|
| 1 | 87.9 | 94.1 | - | 92.1 |
| 2 | 87.5 | 93.9 | - | 91.4 |
| 3 | 90.4 | - | 97.1 | - |
| 4 | 85.4 | - | 88.5 | 89.1 |
| 5 | 85.3 | 92.5 | 87.3 | - |
| 6 | 89.4 | 94.5 | 92.2 | 93.0 |
| 7 | 88.7 | 93.3 | - | 91.4 |
- Generating Attention from Classifier Activations for Fine-grained Recognition. arXiv, 2018-11
- Learning to Navigate for Fine-grained Classification. ECCV, 2018 (code)
- Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up. arXiv, 2019-3
- Guided Zoom: Questioning Network Evidence for Fine-grained Classification. arXiv, 2018-12
- Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-grained Image Recognition. CVPR, 2017
- See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification. arXiv, 2019-3
- Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CVPR, 2018 (code)