Enhancing Semantically Masked Transformer With Local Attention for Semantic Segmentation

Transformer-based semantic segmentation has been applied to various visual recognition applications and achieved outstanding performance in recent years. Since most of these approaches adopt a pretrained backbone and finetune it for semantic segmentation, they are not efficient in capturing semantic...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Zhengyu Xia, Joohee Kim
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Convolutional neural networks deep learning semantic segmentation transformer
Online Access:	https://ieeexplore.ieee.org/document/10304180/