Mixed-Precision Quantization (MQ) can achieve a competitive
accuracy-com...
Text classification tasks often encounter few shot scenarios with limite...
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
...
This paper reviews the Challenge on Super-Resolution of Compressed Image...
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 this paper, we propose a fixed-size object encoding method (FOE-VRD) ...
The development of intelligent traffic light control systems is essentia...
The past few years have witnessed the fast development of different
regu...