no code implementations • semantic scholar 2022 • Zhichen Liu, Yafeng Yin, Bai fan, and Donald K Grimm
The centerpiece of the proposed framework is to use deep neural networks to represent travelers’ route choice preferences and then encapsulate the neural networks in a variational inequality that prescribes the user equilibrium flow distribution.
no code implementations • 30 Jul 2019 • Xu Zhenlong, Zhou shuigeng, Cheng zhanzhan, Bai fan, Niu yi, Pu shiliang
Most existing works recognize multiple text sequences from an image in a non-end-to-end (NEE) or quasi-end-to-end (QEE) way, in which each image is trained with both text transcripts and text locations. Only recently, a PEE method was proposed to recognize text sequences from an image where the text sequence was split to several lines in the image.
