BriefGPT.xyz
Apr, 2021
ConTNet:为什么不同时使用卷积和Transformer?
ConTNet: Why not use convolution and transformer at the same time?
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Haotian Yan, Zhe Li, Weijian Li, Changhu Wang, Ming Wu...
TL;DR
本论文提出基于Transformer和ConvNet结构的ConTNet模型,相较于传统的ConvNet模型,可以更好地捕捉全局信息,从而部署在图像分类和物体检测等任务中,具有明显的优异性。
Abstract
Although
convolutional networks
(ConvNets) have enjoyed great success in computer vision (CV), it suffers from capturing global information crucial to dense prediction tasks such as
object detection
and segmentat
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