The field of transfer learning is undergoing a significant shift with th...
Continual learning for segmentation has recently seen increasing interes...
Rapid development of large-scale pre-training has resulted in foundation...
Unsupervised Domain Adaptation (UDA) is a transfer learning task which a...
Deep network architectures struggle to continually learn new tasks witho...
Deep learning approaches are nowadays ubiquitously used to tackle comput...
Continual learning is a machine learning sub-field specialized in settin...
Deep learning approaches are nowadays ubiquitously used to tackle comput...
Among all fashion attributes, color is challenging to detect due to its
...
Continual learning aims to learn tasks sequentially, with (often severe)...
Lifelong learning has attracted much attention, but existing works still...