This paper investigates an under-explored but important problem: given a...
In recent years, the Transformer architecture has shown its superiority ...
This paper reviews the second AIM learned ISP challenge and provides the...
Normalization techniques are important in different advanced neural netw...
Group convolution, which divides the channels of ConvNets into groups, h...
Group convolution, which divides the channels of ConvNets into groups, h...
We address a learning-to-normalize problem by proposing Switchable
Norma...
Yes, they do. This work investigates a perspective for deep learning: wh...
Batch Normalization (BN) makes output of hidden neuron had zero mean and...
We address a learning-to-normalize problem by proposing Switchable
Norma...
This paper addresses the problem of geometric scene parsing, i.e.
simult...
This work investigates how the traditional image classification pipeline...
Constructing effective representations is a critical but challenging pro...