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Adaptive Channel Encoding Transformer for Point Cloud Analysis. (arXiv:2112.02507v3 [cs.CV] UPDATED)
July 13, 2022, 1:13 a.m. | Guoquan Xu, Hezhi Cao, Yifan Zhang, Yanxin Ma, Jianwei Wan, Ke Xu
cs.CV updates on arXiv.org arxiv.org
Transformer plays an increasingly important role in various computer vision
areas and remarkable achievements have also been made in point cloud analysis.
Since they mainly focus on point-wise transformer, an adaptive channel encoding
transformer is proposed in this paper. Specifically, a channel convolution
called Transformer-Conv is designed to encode the channel. It can encode
feature channels by capturing the potential relationship between coordinates
and features. Compared with simply assigning attention weight to each channel,
our method aims to encode the …
More from arxiv.org / cs.CV updates on arXiv.org
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