MI-RPN: Integrating multi-modalities and multi-scales information for region proposal-Reference-Cited by-同舟云学术

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MI-RPN: Integrating multi-modalities and multi-scales information for region proposal

Published:2023-12-20 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Tian Shishun,Chen Ruifeng,Zou Wenbin,Li Xia

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

the key Project of DEGP

the Key project of Shenzhen Science and Technology Plan

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16484-6.pdf

Reference49 articles.

1. Alexe B, Deselaers T, Ferrari V (2012) Measuring the objectness of image windows. IEEE Trans Pattern Anal Mach Intell 34(11):2189–2202

2. Blum M, Springenberg JT, Wülfing J, Riedmiller M (2012) A learned feature descriptor for object recognition in rgb-d data. In: 2012 IEEE international conference on robotics and automation, pp 1298–1303. IEEE

3. Bo L, Lai K, Ren X, Fox D (2011) Object recognition with hierarchical kernel descriptors. In: CVPR 2011, pp 1729–1736. IEEE

4. Cai Z, Vasconcelos N (2018) Cascade r-cnn: Delving into high quality object detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 6154–6162

5. Cao J, Chen Q, Guo J, Shi R (2020) Attention-guided context feature pyramid network for object detection. arXiv preprint arXiv:2005.11475

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