PolyViT: Co-training Vision Transformers on Images, Videos and Audio

Benchmark Model Rank Results
action-classification-on-kinetics-400PolyViT-L/16x2–Acc@1: 82.4
action-classification-on-kinetics-600PolyViT-L/16x2–Top-1 Accuracy: 82.9
action-classification-on-moments-in-timePolyViT-L/16x2–Top 1 Accuracy: 38.6
audio-classification-on-audiosetPolyViT-B–Test mAP: 0.445
audio-classification-on-vggsoundPolyViT-B–Top 1 Accuracy: 55.1
image-classification-on-cifar-10PolyViT-L–Percentage correct: 99.4
image-classification-on-cifar-100PolyViT-L–Percentage correct: 93.9
image-classification-on-imagenetPolyViT-L–Top 1 Accuracy: 85.1%
linear-probe-image-classification-on-caltech-101PolyViT-Base (L_adapt=0) linear probe–Accuracy: 91.0
linear-probe-image-classification-on-dtdPolyViT-Base (image tasks) linear probe–Accuracy: 72.5
linear-probe-image-classification-on-sun397PolyViT-Base (image tasks) linear probe–Accuracy: 80.0