PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning

Benchmark Model Rank Results
incremental-learning-on-cifar-100-50-classes-1PODNet#4Average Incremental Accuracy: 60.72
incremental-learning-on-cifar-100-50-classes-2PODNet (CNN)#9Average Incremental Accuracy: 63.19
incremental-learning-on-cifar-100-50-classes-3PODNet (CNN)#9Average Incremental Accuracy: 64.83
incremental-learning-on-cifar-100-b0-5stepsPODNet#9Average Incremental Accuracy: 66.70
incremental-learning-on-imagenet-100-50-1PODNet#3Average Incremental Accuracy: 67.28
incremental-learning-on-imagenet-100-50-2PODNet#5Average Incremental Accuracy: 73.14
incremental-learning-on-imagenet-100-50-3PODNet#4Average Incremental Accuracy: 75.82
incremental-learning-on-imagenet-500-classes-1PODNet#3Average Incremental Accuracy: 66.95
incremental-learning-on-imagenet-500-classes-2PODNet#2Average Incremental Accuracy: 64.13