An Attention-Locating Algorithm for Eliminating Background Effects in Fine-grained Visual Classification
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Benchmark
Model
Rank
Results
fine-grained-image-classification-on-nabirds
FAL-ViT
#9
Accuracy: 91.1%
fine-grained-image-classification-on-stanford-1
FAL-ViT
#10
Accuracy: 91.1%
Rank counts only results with a code link.