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TransTCN: An Attention-based TCN Framework for Sequential Modeling
The model was evaluated across a wide range of the tasks in time series, which are commonly used to the benchmark of TCN and recurrent networks.
Outline Objects using Deep Reinforcement Learning
Image segmentation needs both local boundary position information and global object context information.
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