1 code implementation • 22 Mar 2024 • Wenlve Zhou, Zhiheng Zhou, Tianlei Wang, Delu Zeng
Typically, various prevailing methods baseline rely on constructing intermediate domains via cross-domain mixed sampling techniques to mitigate the performance decline caused by domain gaps.
Ranked #8 on Domain Adaptation on SYNTHIA-to-Cityscapes
1 code implementation • 20 Jul 2023 • Tianlei Wang, Dekang Liu, Wandong Zhang, Jiuwen Cao
To address this issue, then, a unilateral relaxation Sigmoid function is introduced into LBL and a novel OCC loss named LBLSig is proposed.
no code implementations • 16 Oct 2021 • Zhangzi Zhu, Tianlei Wang, Hong Qu
In this paper, we propose a novel reinforcement training method for structure-related control signals: Self-Annotated Training (SAT), to improve both the accuracy and controllability of CIC models.
no code implementations • 20 Jan 2021 • Zhangzi Zhu, Tianlei Wang, Hong Qu
With such a control signal, the controllability and diversity of existing captioning models are enhanced.
no code implementations • 4 Jan 2021 • Wandong Zhang, QM Jonathan Wu, Yimin Yang, WG Will Zhao, Tianlei Wang, HUI ZHANG
Most multilayer least squares (LS)-based neural networks are structured with two separate stages: unsupervised feature encoding and supervised pattern classification.