AIoU: Adaptive bounding box regression for accurate oriented object detection-Reference-Cited by-同舟云学术

AIoU: Adaptive bounding box regression for accurate oriented object detection

Published:2021-09-06 Issue:1 Volume:37 Page:748-769
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Wen Nu¹²³^ORCID,Guo Renzhong¹³^ORCID,Ma Ding¹³^ORCID,Ye Xiang¹³^ORCID,He Biao¹³^ORCID

Affiliation:

1. Research Institute for Smart Cities, School of Architecture and Urban Planning Shenzhen University & Guangdong–Hong Kong‐Macau Joint Laboratory for Smart Cities & Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources Shenzhen China

2. Internet of things Research Institute Shenzhen Polytechnic Shenzhen China

3. Polytechnic Center for Territory Spatial Big Data MNR of China Beijing China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22646

Reference28 articles.

1. Deep feature augmentation for occluded image classification

2. Block-sparse CNN: towards a fast and memory-efficient framework for convolutional neural networks

3. An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges

4. Single-shot bidirectional pyramid networks for high-quality object detection

5. Rotational multipyramid network with bounding‐box transformation for object detection

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