Non-exemplar-based Class Incremental Learning
2 papers with code • 3 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Non-exemplar-based Class Incremental Learning
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CIFAR-100
Most implemented papers
NAPA-VQ: Neighborhood-Aware Prototype Augmentation with Vector Quantization for Continual Learning
tamasham/napa-vq
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ICCV 2023
However, due to the lack of old data, NECIL methods struggle to discriminate between old and new classes causing their feature representations to overlap.
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning
tamasham/napa-vq
•
•
However, due to the lack of old data, NECIL methods struggle to discriminate between old and new classes causing their feature representations to overlap.
