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-ntu-120CADA-VAE#7Accuracy (10 unseen classes): 59.53Accuracy (24 unseen classes): 35.77
zero-shot-skeletal-action-recognition-on-ntu-60CADA-VAE#7Accuracy (12 unseen classes): 28.96Accuracy (5 unseen classes): 76.84
zero-shot-skeletal-action-recognition-on-pkuCADA-VAE#5Random Split Accuracy: 60.74