Recently, the development of pre-trained vision language foundation mode...
Data-driven medium-range weather forecasting has attracted much attentio...
In this paper, we extend the unified kinetic particle (UGKP) method to t...
We present PolyBuilding, a fully end-to-end polygon Transformer for buil...
Data-driven approaches for medium-range weather forecasting are recently...
Various robustness evaluation methodologies from different perspectives ...
Training 1-bit deep convolutional neural networks (DCNNs) is one of the ...
Binarized convolutional neural networks (BCNNs) are widely used to impro...
Pursuing more complete and coherent scene understanding towards realisti...
Features from multiple scales can greatly benefit the semantic edge dete...