no code implementations • 24 Mar 2024 • Bolin Ni, Hongbo Zhao, Chenghao Zhang, Ke Hu, Gaofeng Meng, Zhaoxiang Zhang, Shiming Xiang
Existing methods commonly utilize the one-hot labels and randomly initialize the classifier head.
1 code implementation • 12 Jan 2024 • Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zhicheng Dou, Zheng Liu, Ji-Rong Wen
Despite this, their application to information retrieval (IR) tasks is still challenging due to the infrequent occurrence of many IR-specific concepts in natural language.
no code implementations • 23 Aug 2023 • Songhua Yang, Chenghao Zhang, Hongfei Xu, Yuxiang Jia
However, existing research falls short in tackling the more complex Chinese BEN task, especially in the few-shot scenario with limited medical data, and the vast potential of the external medical knowledge base has yet to be fully harnessed.
1 code implementation • 16 Dec 2022 • Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li
To this end, we propose a sequence-aware diffusion model (SADM) for the generation of longitudinal medical images.
1 code implementation • CVPR 2022 • Chenghao Zhang, Kun Tian, Bin Fan, Gaofeng Meng, Zhaoxiang Zhang, Chunhong Pan
The deep stereo models have achieved state-of-the-art performance on driving scenes, but they suffer from severe performance degradation when tested on unseen scenes.
1 code implementation • ICCV 2021 • Kun Tian, Chenghao Zhang, Ying Wang, Shiming Xiang, Chunhong Pan
Specifically, KTNet is constructed on a base detector with intrinsic knowledge mining and relational knowledge constraints.
no code implementations • 28 May 2020 • Behnam Pourghassemi, Chenghao Zhang, Joo Hwan Lee, Aparna Chandramowlishwaran
However, popular deep learning (DL) frameworks such as TensorFlow and PyTorch launch the majority of neural network operations, especially convolutions, serially on GPUs and do not exploit this inter-op parallelism.