Transfer learning is widely used for training deep neural networks (DNN)...
Pre-training vision-language models with contrastive objectives has show...
Pre-trained representation is one of the key elements in the success of
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We present a new approach for oriented object detection, an anchor-free
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We propose a quadratic penalty method for continual learning of neural
n...
We propose a novel continual learning method called Residual Continual
L...