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Found 2 papers, 1 papers with code
PPT: Token Pruning and Pooling for Efficient Vision Transformers
Vision Transformers (ViTs) have emerged as powerful models in the field of computer vision, delivering superior performance across various vision tasks.
Ranked #4 on
Efficient ViTs
on ImageNet-1K (with DeiT-S)
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning
This is hard for DNN because it tends to focus on fitting to new classes while ignoring old classes, a phenomenon known as catastrophic forgetting.
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