Abstract: In this paper, the convolution behavior recognition algorithm of multi-stream spatio-temporal graph based on Transformer fusion is proposed, and an innovative spatiotemporal self-attention ...

This work explores an efficient convolutional acceleration framework tailored for edge devices by integrating Depthwise Convolution with the Winograd algorithm. Through RTL-based hardware ...

This is the code for paper "Joint Parallel Modeling with Direction-Wise Convolution and Deformable Transformer for 3D Medical Image Segmentation". The model is implemented with PyTorch. This work is ...

In this paper, we introduce a novel temporal convolutional shrinkage network to enhance feature learning from noisy speech signals. Taking into account the non-stationary nature of speech signals, we ...

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