Natural videos captured by consumer cameras often suffer from low framer...
A wide range of NLP tasks benefit from the fine-tuning of pretrained lan...
Demonstration learning aims to guide the prompt prediction via providing...
Recently, deep learning-based image denoising methods have achieved prom...
The study of multi-task learning has drawn great attention from the
comm...
In this paper, we consider two challenging issues in reference-based
sup...
Crowd counting is critical for numerous video surveillance scenarios. On...
For flexible non-blind image denoising, existing deep networks usually t...
In computer vision, convolutional networks (CNNs) often adopts pooling t...
The tradeoff between receptive field size and efficiency is a crucial is...
Ear recognition task is known as predicting whether two ear images belon...
Relation detection plays a crucial role in Knowledge Base Question Answe...