Affinity Relation-aware Fine-grained Bird Image Recognition for Robot Vision Tracking via Transformers
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO) |
Publisher | IEEE |
Pages | 662-667 |
ISBN (Electronic) | 978-1-6654-8109-0 |
ISBN (Print) | 978-1-6654-8110-6 |
Publication status | Published - Dec 2022 |
Conference
Title | 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO 2022) |
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Location | China Sheraton Grand Xishuangbanna Hotel |
Place | China |
City | Jinghong |
Period | 5 - 9 December 2022 |
Link(s)
DOI | DOI |
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Document Link | |
Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85147325552&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(a7913d51-ed00-4296-b1aa-8cab85e1cddb).html |
Abstract
Fine-grained Bird Image Recognition dedicates to achieve accurate bird image classification and it is also a fundamental task in robot vision tracking. Given that endangered bird surveillance and conservation is of great significance for bird protection from extinction, automated approaches are in need to facilitate bird surveillance. In this work, we propose a novel robot vision tracking based method for bird surveillance with an affinity relation-aware model named TBNet that combines CNN and Transformer architecture and has a novel feature selection (FS) module. Specifically, CNN is employed to extract superficial information. Transformer is utilized for exploiting abstract semantic affinity relations. FS module is introduced to reveal discriminative features. Comprehensive experiments demonstrate that can achieve state-of-the-art performance on the CUB-200-2011 dataset (91.0%) and the NABirds dataset (90.9%). © 2022 IEEE
Citation Format(s)
Affinity Relation-aware Fine-grained Bird Image Recognition for Robot Vision Tracking via Transformers. / Liu, Hai; Zhang, Cheng; Xie, Bochen et al.
2022 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2022. p. 662-667.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review