Transformer models have emerged as the leading approach for achieving
st...
Transformer models have achieved state-of-the-art performance on various...
We present a 3D generative model for general natural scenes. Lacking
nec...
Multi-class classification problems often have many semantically similar...
This paper describes the BLCU-ICALL system used in the SemEval-2022 Task...
In this letter, we investigate time-domain channel estimation for wideba...
In the research and application of vehicle ad hoc networks (VANETs), it ...
The integration of Vector Quantised Variational AutoEncoder (VQ-VAE) wit...
The foundation model is not the last chapter of the model production
pip...
This paper presents a hierarchical segment-based optimization method for...
Training a small student network with the guidance of a larger teacher
n...
In this paper we propose a novel network adaption method called
Differen...
With the rapid deployment of service robots, a method should be establis...
Recent works imply that the channel pruning can be regarded as searching...
The self-improving sorter proposed by Ailon et al. consists of two phase...
Reflections are very common phenomena in our daily photography, which
di...
Orthogonal signal-division multiplexing (OSDM) is an attractive alternat...
As melanoma diagnoses increase across the US, automated efforts to ident...
Fully convolutional neural network (FCN) has been dominating the game of...
Extending state-of-the-art object detectors from image to video is
chall...