Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization

Benchmark Model Rank Results
fine-grained-image-classification-on-fgvc-aircraftCSQA-Net–Accuracy: 94.7%
fine-grained-image-classification-on-nabirdsCSQA-Net–Accuracy: 92.3%
fine-grained-image-classification-on-stanford-carsCSQA-Net–Accuracy: 95.6%