Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation

Benchmark Model Rank Results
few-shot-learning-on-dtdSaSPA + CAL#14-shot Accuracy: 48.38-shot Accuracy: 54.812-shot Accuracy: 58.1
few-shot-learning-on-fgvc-aircraft-1SaSPA + CAL#1Harmonic mean: 52.24-shot Accuracy: 52.28-shot Accuracy: 67.2
few-shot-learning-on-stanford-carsSaSPA + CAL#14-shot Accuracy: 66.78-shot Accuracy: 82.612-shot Accuracy: 88.8
fine-grained-image-classification-on-fgvcSaSPA + CAL#8Accuracy: 94.5
fine-grained-image-classification-on-stanfordSaSPA + CAL#8Accuracy: 95.72
mitigating-contextual-bias-on-fgvc-aircraftCAL + SaSPA#1Top-1 Accuracy (%): 73.0OOD Accuracy (%): 41.5