Rotational Convolution: Rethinking Convolution for Downside Fisheye Images-Reference-Cited by-同舟云学术

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Rotational Convolution: Rethinking Convolution for Downside Fisheye Images

Published:2023 Issue: Volume:32 Page:4355-4364
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Wei Xuan¹,Su Shixiang¹^ORCID,Wei Yun²^ORCID,Lu Xiaobo¹^ORCID

Affiliation:

1. School of Automation, Southeast University, Nanjing, China

2. Beijing Mass Transit Railway Operation Corporation Ltd., Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Big Data Center of Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10197327.pdf?arnumber=10197327

Reference43 articles.

1. RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images

2. Feature-based tracking on a multi-omnidirectional camera dataset

3. Pose recognition using convolutional neural networks on omni-directional images

4. Restricted Deformable Convolution-Based Road Scene Semantic Segmentation Using Surround View Cameras

5. Efficient pedestrian detection in top-view fisheye images using compositions of perspective view patches;chiang;arXiv 2009 02711,2020

Cited by 1 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. OARPD: occlusion-aware rotated people detection in overhead fisheye images;Multimedia Tools and Applications;2024-03-13

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