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SotA/Methodology/Class Incremental Learning

Class Incremental Learning

28 benchmarks634 papers

Incremental learning of a sequence of tasks when the task-ID is not available at test time.

Benchmarks

Class Incremental Learning on PASCAL VOC 2012

mIoUMean IoU (val)Mean IoUMean IoU (test)

Class Incremental Learning on ADE20K

mIoUMean IoU (test)

Class Incremental Learning on mini-Imagenet

Last Accuracy Average Accuracy

Class Incremental Learning on CIFAR-100

Last AccuracyAverage Accuracy

Class Incremental Learning on cifar100

10-stage average accuracyAverage accuracy - 5 tasksaverage accuracy - 10 tasksaverage accuracy - 20 tasks

Class Incremental Learning on CUB-200-2011

Last Accuracy Average Accuracy

Class Incremental Learning on CIFAR-100 - 50 classes + 10 steps of 5 classes

Final Accuracy

Class Incremental Learning on CIFAR-100 - 50 classes + 5 steps of 10 classes

Final Accuracy

Class Incremental Learning on Cityscapes

mIoU

Class Incremental Learning on CIFAR100-B0(50 tasks)-no-exemplars

Average Incremental Accuracy

Class Incremental Learning on Cifar100-B0(10 tasks)-no-exemplars

Average Incremental Accuracy

Class Incremental Learning on Cifar100-B0(20 tasks)-no-exemplars

Average Incremental Accuracy

Class Incremental Learning on ImageNetSubset

Average accuracy - 5 tasksaverage accuracy - 10 tasksaverage accuracy - 20 tasks

Class Incremental Learning on TinyImageNet

Average accuracy - 5 tasksaverage accuracy - 10 tasksaverage accuracy - 20 tasks