22 citations · 22 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 22 cited
Domain Generalization by Learning and Removing Domain-specific Features
Yu Ding, Lei Wang, Bin Liang +3
Deep Neural Networks (DNNs) suffer from domain shift when the test dataset follows a distribution different from the training dataset. Domain generalization aims to tackle this iss…
cs.CV2022
Instance Image Retrieval by Learning Purely From Within the Dataset
Zhongyan Zhang, Lei Wang, Yang Wang +4
Quality feature representation is key to instance image retrieval. To attain it, existing methods usually resort to a deep model pre-trained on benchmark datasets or even fine-tune…
cs.CL2021
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset
Qiyuan Zhang, Lei Wang, Sicheng Yu +4
While diverse question answering (QA) datasets have been proposed and contributed significantly to the development of deep learning models for QA tasks, the existing datasets fall…