GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention.

@article{Xie2021GPCAAP,
  title={GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention.},
  author={Jiyang Xie and Zhanyu Ma and Dongliang Chang and Guoqiang Zhang and Jun Guo},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  year={2021},
  volume={PP}
}
  • Jiyang Xie, Zhanyu Ma, +2 authors Jun Guo
  • Published 10 March 2020
  • Computer Science, Medicine, Mathematics
  • IEEE transactions on pattern analysis and machine intelligence
Channel attention mechanisms have been commonly applied in many visual tasks for effective performance improvement. It is able to reinforce the informative channels as well as to suppress the useless channels. Recently, different channel attention modules have been proposed and implemented in various ways. Generally speaking, they are mainly based on convolution and pooling operations. In this paper, we propose Gaussian process embedded channel attention (GPCA) module and further interpret the… Expand
Towards A Universal Model for Cross-Dataset Crowd Counting
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This paper proposes to handle the practical problem of learning a universal model for crowd counting across scenes and datasets. We dissect that the crux of this problem is the catastrophicExpand

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