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Found 3 papers, 1 papers with code
Imperceptible Physical Attack against Face Recognition Systems via LED Illumination Modulation
Although face recognition starts to play an important role in our daily life, we need to pay attention that data-driven face recognition vision systems are vulnerable to adversarial attacks.
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features
Instead, by mixing new and old features, old knowledge can be retained without increasing the computational complexity.
New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning
In all settings, the online class incremental learning (OCIL), where incoming samples from data stream can be used only once, is more challenging and can be encountered more frequently in real world.
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