TCRNet: Make Transformer, CNN and RNN Complement Each Other-Reference-Cited by-同舟云学术

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TCRNet: Make Transformer, CNN and RNN Complement Each Other

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
language:
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Author:

Shan Xinxin¹,Ma Tai¹,Gu Anqi²,Cai Haibin³,Wen Ying¹

Affiliation:

1. East China Normal University,School of Communication and Electronic Engineering,Shanghai,China

2. East China Normal University,School of Computer Science and Technology,Shanghai,China

3. East China Normal University,Software Engineering Institute,Shanghai,China

Funder

Research and Development

Natural Science Foundation of Shanghai

Nature

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747716.pdf?arnumber=9747716

Reference20 articles.

1. TrSeg: transformer for semantic segmentation

2. Conformer: Local Features Coupling Global Representations for Visual Recognition

3. LSTM-MA: A LSTM Method with Multi-Modality and Adjacency Constraint for Brain Image Segmentation

4. Segmenting Medical MRI via Recurrent Decoding Cell

5. Semantic Flow for Fast and Accurate Scene Parsing

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