Pairwise Confusion for Fine-Grained Visual Classification

Benchmark Model Rank Results
fine-grained-image-classification-on-stanford-dogsPC-DenseNet-161#17Accuracy: 83.75%
fine-grained-image-classification-on-nabirdsPC-DenseNet-161#19Accuracy: 82.79%
fine-grained-image-classification-on-oxford-102-flowersPC Bilinear CNN#21Accuracy: 93.65%
fine-grained-image-classification-on-cub-200-2011PC#24Accuracy: 86.9
fine-grained-image-classification-on-stanford-carsPC-DenseNet-161#53Accuracy: 92.86%