PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans

Benchmark Model Rank Results
fine-grained-image-classification-on-cub-200ResNet-50#4Accuracy: 88.59%
fine-grained-image-classification-on-cub-200-1ResNet-50#16Accuracy: 88.59
fine-grained-image-classification-on-stanfordResNet-50#60Accuracy: 91.06%
fine-grained-image-classification-on-stanford-1ResNet-50#14Accuracy: 86.31%