Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning

Benchmark Model Rank Results
incremental-learning-on-cifar-100-50-classes-2TCIL#1Average Incremental Accuracy: 73.72
incremental-learning-on-cifar-100-50-classes-2TCIL-Lite#2Average Incremental Accuracy: 73.50
incremental-learning-on-cifar-100-50-classes-3TCIL#1Average Incremental Accuracy: 74.88
incremental-learning-on-cifar-100-50-classes-3TCIL-Lite#2Average Incremental Accuracy: 74.30
incremental-learning-on-cifar-100-50-classes-4TCIL#1Average Incremental Accuracy: 76.42
incremental-learning-on-cifar-100-50-classes-4TCIL-Lite#2Average Incremental Accuracy: 74.95
incremental-learning-on-cifar-100-b0-5stepsTCIL#2Average Incremental Accuracy: 77.72
incremental-learning-on-cifar-100-b0-5stepsTCIL-Lite#3Average Incremental Accuracy: 76.96
incremental-learning-on-cifar100-b0-10stepsTCIL#2Average Incremental Accuracy: 77.30
incremental-learning-on-cifar100-b0-10stepsTCIL-Lite#3Average Incremental Accuracy: 76.74
incremental-learning-on-cifar100b020stepTCIL-Lite#2Average Incremental Accuracy: 75.47
incremental-learning-on-cifar100b020stepTCIL#3Average Incremental Accuracy: 75.11
incremental-learning-on-imagenet100-10-stepsTCIL#3Average Incremental Accuracy: 77.66Final Accuracy: 67.34
incremental-learning-on-imagenet100-10-stepsTCIL-Lite#4Average Incremental Accuracy: 77.50Final Accuracy: 67.30