9 citations · 36 across the 6 of their papers we have counts for
5 papers · 1 filter
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning
Xiaoyang Guo, Tianhao Zhao, Yutian Lin +1
Recently contrastive learning has shown significant progress in learning visual representations from unlabeled data. The core idea is training the backbone to be invariant to diffe…
Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer
Hongruixuan Chen, Chen Wu, Yonghao Xu +1
Unsupervised domain adaptation for semantic segmentation aims to make models trained on synthetic data (source domain) adapt to real images (target domain). Previous feature-level…
Towards Deep and Efficient: A Deep Siamese Self-Attention Fully Efficient Convolutional Network for Change Detection in VHR Images
Hongruixuan Chen, Chen Wu, Bo Du
Recently, FCNs have attracted widespread attention in the CD field. In pursuit of better CD performance, it has become a tendency to design deeper and more complicated FCNs, which…
DeepFake MNIST+: A DeepFake Facial Animation Dataset
Jiajun Huang, Xueyu Wang, Bo Du +2
The DeepFakes, which are the facial manipulation techniques, is the emerging threat to digital society. Various DeepFake detection methods and datasets are proposed for detecting s…
Transportation Density Reduction Caused by City Lockdowns Across the World during the COVID-19 Epidemic: From the View of High-resolution Remote Sensing Imagery
Chen Wu, Sihan Zhu, Jiaqi Yang +6
As the COVID-19 epidemic began to worsen in the first months of 2020, stringent lockdown policies were implemented in numerous cities throughout the world to control human transmis…