NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition-Reference-Cited by-同舟云学术

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NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Liu Hao¹,Jiang Xinghua¹,Li Xin¹,Bao Zhimin¹,Jiang Deqiang¹,Ren Bo¹

Affiliation:

1. Tencent YouTu Lab

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879159.pdf?arnumber=9879159

Reference40 articles.

1. Tokens-to-token vit: Training vision transformers from scratch on imagenet;li;ArXiv Preprint,2021

2. Unified perceptual parsing for scene understanding;xiao;Proceedings of the European Conference on Computer Vision (ECCV),0

3. CvT: Introducing Convolutions to Vision Transformers

4. Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transformer-based cross-modal multi-contrast network for ophthalmic diseases diagnosis;Biocybernetics and Biomedical Engineering;2023-07

2. Cross-Modal Relation and Sketch Prototype Learning for Zero-Shot Sketch-Based Image Retrieval;Proceedings of the 2022 6th International Conference on Computer Science and Artificial Intelligence;2022-12-09

3. You Can even Annotate Text with Voice: Transcription-only-Supervised Text Spotting;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10

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