89 citations · 103 across the 11 of their papers we have counts for
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cs.LG2022★ 13 cited
Dynamic Sparse Network for Time Series Classification: Learning What to "see''
Qiao Xiao, Boqian Wu, Yu Zhang +4
The receptive field (RF), which determines the region of time series to be ``seen'' and used, is critical to improve the performance for time series classification (TSC). However,…
cs.CV2022★ 89 cited
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
Shiwei Liu, Tianlong Chen, Xiaohan Chen +7
Transformers have quickly shined in the computer vision world since the emergence of Vision Transformers (ViTs). The dominant role of convolutional neural networks (CNNs) seems to…