Continual learning aims to enable a model to incrementally learn knowled...
Pre-trained vision-language models have inspired much research on few-sh...
Recently large-scale language-image models (e.g., text-guided diffusion
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Robust Model-Agnostic Meta-Learning (MAML) is usually adopted to train a...
A human's attention can intuitively adapt to corrupted areas of an image...
Fine-grained visual classification (FGVC) is challenging but more critic...