Bilateral attention network for semantic segmentation
Abstract Enhancing network feature representation capabilities and reducing the loss of image details have become the focus of semantic segmentation task. This work proposes the bilateral attention network for semantic segmentation. The authors embed two attention modules in the encoder and decoder...
Main Authors: | Dongli Wang, Nanjun Li, Yan Zhou, Jinzhen Mu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-06-01
|
Series: | IET Image Processing |
Online Access: | https://doi.org/10.1049/ipr2.12129 |
Similar Items
-
Real-Time Semantic Segmentation of Remote Sensing Images Based on Bilateral Attention Refined Network
by: Jiali Cai, et al.
Published: (2021-01-01) -
Attention-Guided Network for Semantic Video Segmentation
by: Jiangyun Li, et al.
Published: (2019-01-01) -
Efficient Attention Pyramid Network for Semantic Segmentation
by: Qirui Yang, et al.
Published: (2021-01-01) -
Contextual Attention Refinement Network for Real-Time Semantic Segmentation
by: Shijie Hao, et al.
Published: (2020-01-01) -
Attentively Conditioned Generative Adversarial Network for Semantic Segmentation
by: Ariyo Oluwasanmi, et al.
Published: (2020-01-01)