SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization

Benchmark Model Rank Results
fine-grained-image-classification-on-fgvcSR-GNN#2Accuracy: 95.4FLOPS: 9.8PARAMS: 30.9
fine-grained-image-classification-on-nabirdsSR-GNN#8Accuracy: 91.2%
fine-grained-image-classification-on-oxfordSR-GNN#17Accuracy: 97.9%FLOPS: 9.8PARAMS: 30.9
fine-grained-image-classification-on-stanfordSR-GNN#6Accuracy: 96.1FLOPS: 9.8PARAMS: 30.9
fine-grained-image-classification-on-stanford-1MP#1Accuracy: 97.3%