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Incremental Learning

112 평가 기록 22 datasets

Incremental learning aims to develop artificially intelligent systems that can continuously learn to address new tasks from new data while preserving knowledge learned from previously learned tasks.

데이터셋

22개

CIFAR-100 - 50 classes + 5 steps of 10 classes CIFAR-100 - 50 classes + 10 steps of 5 classes ImageNet100 - 10 steps CIFAR-100-B0(5steps of 20 classes)ImageNet - 10 steps CIFAR100-B0(10steps of 10 classes)CIFAR-100 - 50 classes + 25 steps of 2 classes CIFAR100B020Step(5ClassesPerStep)ImageNet-100 - 50 classes + 10 steps of 5 classes ImageNet-100 - 50 classes + 5 steps of 10 classes CIFAR-100 - 50 classes + 2 steps of 25 classes ImageNet - 500 classes + 10 steps of 50 classes ImageNet - 500 classes + 5 steps of 100 classes ImageNet-100 - 50 classes + 25 steps of 2 classes CIFAR-100 - 50 classes + 50 steps of 1 class ImageNet-100 - 50 classes + 50 steps of 1 class CIFAR-100 - 40 classes + 60 steps of 1 class (Exemplar-free)CIFAR100B050S(2ClassesPerStep)ImageNet - 500 classes + 25 steps of 20 classes ImageNet-10k - 5225 classes + 5 steps of 1045 classes ImageNet100 - 20 steps MLT17