Pairwise Confusion for Fine-Grained Visual Classification

Benchmark Model Rank Results
fine-grained-image-classification-on-cub-200-1PC#21Accuracy: 86.9
fine-grained-image-classification-on-nabirdsPC-DenseNet-161#19Accuracy: 82.79%
fine-grained-image-classification-on-oxfordPC Bilinear CNN#21Accuracy: 93.65%
fine-grained-image-classification-on-stanfordPC-DenseNet-161#53Accuracy: 92.86%
fine-grained-image-classification-on-stanford-1PC-DenseNet-161#15Accuracy: 83.75%