Batch Transformer: Look for Attention in Batch
Open paper
Benchmark
Model
Rank
Results
facial-expression-recognition-on-affectnet
BTN
–
Accuracy (8 emotion): 64.29
Accuracy (7 emotion): 67.60
facial-expression-recognition-on-raf-db
BTN
–
Overall Accuracy: 92.54
Avg. Accuracy: 87.3
Rank counts only results with a code link.