no code implementations • 3 Mar 2024 • Jie Feng, Hao Huang, Junpeng Zhang, Weisheng Dong, Dingwen Zhang, Licheng Jiao
To eliminate the reliance on such priors, we propose a novel Structure-aware Mixup and Invariance Learning framework (SA-MixNet) for weakly supervised road extraction that improves the model invariance in a data-driven manner.
1 code implementation • 15 Nov 2022 • Meng Huang, Jiangtao Ma, Changzhou Long, Junpeng Zhang, Xiucai Ye, Tetsuya Sakurai
However, to analyze lncRNA regulation regarding individual cells, we focus on single-cell RNA-sequencing (scRNA-seq) data instead of bulk data.
no code implementations • 26 Sep 2022 • Junpeng Zhang, Yue Ju, Biqiang Mu, Renxin Zhong, Tianshi Chen
Spatial-temporal Gaussian process regression is a popular method for spatial-temporal data modeling.
no code implementations • 20 Jun 2022 • Yicheng Xiao, Junpeng Zhang
Transferring the category information is achieved by knowledge distillation on predicted probability distribution, and a soft regression loss is adopted for handling displacement in location information transfer.
no code implementations • 22 Nov 2021 • Feng Jie, Yuping Liang, Junpeng Zhang, Xiangrong Zhang, Quanhe Yao, Licheng Jiao
Ship detection in aerial images remains an active yet challenging task due to arbitrary object orientation and complex background from a bird's-eye perspective.
no code implementations • 29 Nov 2019 • Junpeng Zhang, Xiuping Jia, Jiankun Hu, Jocelyn Chanussot
O-LSD reformulates the batch-based low-rank matrix decomposition with the structured sparse penalty to its equivalent frame-wise separable counterpart, which then defines a stochastic optimization problem for online subspace basis estimation.
no code implementations • 26 Aug 2019 • Junpeng Zhang, Xiuping Jia, Jiankun Hu
It is integrated with structured sparsity regularization to achieve background subtraction in the developed method of Low-rank and Structured Sparse Decomposition (LSD).