most citedUnderstanding Masked Image Modeling via Learning Occlusion Invariant Feature

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SE2023★ 1 cited

Scene-Driven Exploration and GUI Modeling for Android Apps

Xiangyu Zhang, Lingling Fan, Sen Chen +2

Due to the competitive environment, mobile apps are usually produced under pressure with lots of complicated functionality and UI pages. Therefore, it is challenging for various ro…

cs.SE2023

On-the-fly Improving Performance of Deep Code Models via Input Denoising

Zhao Tian, Junjie Chen, Xiangyu Zhang

Deep learning has been widely adopted to tackle various code-based tasks by building deep code models based on a large amount of code snippets. While these deep code models have ac…

cs.CV2023

Self-supervised Learning by View Synthesis

Shaoteng Liu, Xiangyu Zhang, Tao Hu +1

We present view-synthesis autoencoders (VSA) in this paper, which is a self-supervised learning framework designed for vision transformers. Different from traditional 2D pretrainin…

eess.AS2022

End-to-End Lyrics Recognition with Self-supervised Learning

Xiangyu Zhang, Shuyue Stella Li, Zhanhong He +2

Lyrics recognition is an important task in music processing. Despite traditional algorithms such as the hybrid HMM- TDNN model achieving good performance, studies on applying end-t…

cs.CV2022★ 1 cited

Understanding Masked Image Modeling via Learning Occlusion Invariant Feature

Xiangwen Kong, Xiangyu Zhang

Recently, Masked Image Modeling (MIM) achieves great success in self-supervised visual recognition. However, as a reconstruction-based framework, it is still an open question to un…

cs.CV2022

Revisiting the Critical Factors of Augmentation-Invariant Representation Learning

Junqiang Huang, Xiangwen Kong, Xiangyu Zhang

We focus on better understanding the critical factors of augmentation-invariant representation learning. We revisit MoCo v2 and BYOL and try to prove the authenticity of the follow…