Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders

Benchmark Model Rank Results
generalized-few-shot-learning-on-awa2CADA-VAE#2Per-Class Accuracy (1-shot): 69.6Per-Class Accuracy (2-shots): 73.7…
generalized-few-shot-learning-on-awa2DA-VAE#3Per-Class Accuracy (1-shot): 68.0Per-Class Accuracy (2-shots): 73.0…
generalized-few-shot-learning-on-awa2CA-VAE#5Per-Class Accuracy (1-shot): 64.0Per-Class Accuracy (2-shots): 71.3…
generalized-few-shot-learning-on-cubCADA-VAE#2Per-Class Accuracy (1-shot): 55.2Per-Class Accuracy (2-shots): 59.2…
generalized-few-shot-learning-on-cubCA-VAE#3Per-Class Accuracy (1-shot): 50.6Per-Class Accuracy (2-shots): 54.4…
generalized-few-shot-learning-on-cubDA-VAE#4Per-Class Accuracy (1-shot): 49.2Per-Class Accuracy (2-shots): 54.6…
zero-shot-skeletal-action-recognition-on-pku-mmdCADA-VAE#7Random Split Accuracy: 60.74
zero-shot-skeletal-action-recognition-on-ntu-120CADA-VAE#11Accuracy (10 unseen classes): 59.53Accuracy (24 unseen classes): 35.77…
zero-shot-skeletal-action-recognition-on-ntu-60CADA-VAE#11Accuracy (12 unseen classes): 28.96Accuracy (5 unseen classes): 76.84…