A Survey and Performance Evaluation of Deep Learning Methods for Small Object Detection
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Title
A Survey and Performance Evaluation of Deep Learning Methods for Small Object Detection
Authors
Keywords
Small object detection, Computer vision, Convolutional neural networks, Deep learning
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume -, Issue -, Pages 114602
Publisher
Elsevier BV
Online
2021-01-19
DOI
10.1016/j.eswa.2021.114602
References
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Related references
Note: Only part of the references are listed.- Recent advances in deep learning for object detection
- (2020) Xiongwei Wu et al. NEUROCOMPUTING
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- A survey on object detection in optical remote sensing images
- (2016) Gong Cheng et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
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- (2013) J. R. R. Uijlings et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
- (2011) Joao Carreira et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Context based object categorization: A critical survey
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- The Pascal Visual Object Classes (VOC) Challenge
- (2009) Mark Everingham et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
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