Deep Learning for fine-grained visual classification

Here we implement state-of-the-art techniques for fine-grained classification.

1. Discriminative filter learning within CNN -- CVPR, June 2018
2. Bilinear pooling -- ICCV, 2015

Datasets:

• CUB-200-2011
• Stanford Cars

Implemented using PyTorch. This work is done as part of the final project for Deep Vision, ST2019.

The following article has also inspired this work:

• Weakly supervised Data Augmentation Network -- ArXiV preprint, March 2019.

Authors:

• Denis Zavadski
• Kevin Siswandi

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Poster Session