Mixed-Precision Quantization (MQ) can achieve a competitive
accuracy-com...
Practical networks for edge devices adopt shallow depth and small
convol...
Neural architecture search (NAS) has made tremendous progress in the
aut...
Pure transformers have shown great potential for vision tasks recently.
...
Vision transformers have shown excellent performance in computer vision
...
Neural architecture search methods seek optimal candidates with efficien...
Convolutional neural network (CNN) has achieved impressive success in
co...
Neural architecture search (NAS) has gained significant attention for
au...
In recent years, the Deep Learning Alternating Minimization (DLAM), whic...
In this paper, we propose a fixed-size object encoding method (FOE-VRD) ...
The past few years have witnessed the fast development of different
regu...
Convolutional neural networks (CNNs) have yielded the excellent performa...
In this paper, we propose a fast deep learning method for object salienc...
In this paper, we propose several novel deep learning methods for object...