Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
Open paper
Benchmark
Model
Rank
Results
fine-grained-image-classification-on-fgvc-aircraft
DCAL
–
Accuracy: 93.3%
fine-grained-image-classification-on-stanford-cars
DCAL
–
Accuracy: 95.3%
Rank counts only results with a code link.