Multi-view methods learn representations by aligning multiple views of t...
We present BN-NAS, neural architecture search with Batch Normalization
(...
In this paper, we observe two levels of redundancies when applying visio...
We introduce the first Neural Architecture Search (NAS) method to find a...
Dilation convolution is a critical mutant of standard convolution neural...
Pedestrian detection in crowd scenes poses a challenging problem due to ...
Several variants of stochastic gradient descent (SGD) have been proposed...
Automatic search of Quantized Neural Networks has attracted a lot of
att...
One-shot NAS method has attracted much interest from the research commun...
There is a growing interest in automated neural architecture search (NAS...
Designing an effective loss function plays an important role in visual
a...
Data augmentation is critical to the success of modern deep learning
tec...