Class-Incremental Learning (CIL) aims to build classification models fro...
Exemplar-free class-incremental learning is very challenging due to the
...
Plasticity and stability are needed in class-incremental learning in ord...
Active learning aims to optimize the dataset annotation process when
res...
Deep learning approaches are successful in a wide range of AI problems a...
When we can not assume a large amount of annotated data , active learnin...
Face verification aims to distinguish between genuine and imposter pairs...
Incremental learning enables artificial agents to learn from sequential ...
Social networks give free access to their services in exchange for the r...
The ability of artificial agents to increment their capabilities when
co...
Incremental Learning (IL) is useful when artificial systems need to deal...
Incremental Learning (IL) allows AI systems to adapt to streamed data. M...
Zero-shot learning (ZSL) makes object recognition in images possible in
...
Incremental learning is useful if an AI agent needs to integrate data fr...
Incremental Learning (IL) is an interesting AI problem when the algorith...
The keep-growing content of Web images may be the next important data so...
Convolutional neural networks (CNNs) tend to become a standard approach ...