Object Recognition with Vision Sensors Based on Machine Learning and Deep Learning
This special issue belongs to the section "Sensing and Imaging".
Special Issue Information
Dear Colleagues,
As massive vision sensors have been established, object recognition has achieved significant success due to visual big data and advanced machine learning methods (e.g., deep learning). However, there are still several challenges, e.g., the assumption of closed-world recognition, the requirement of large-scale labeled images, the problem of few-shot learning, and poor model interpretability. This Special Issue aims to address the object recognition methods with vision sensors designed to meet these challenges.
Dr. Meng Yang
Dr. Jianjun Qian
Guest Editors
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Keywords
- open-world object recognition
- semi-supervised object recognition
- weakly supervised object recognition
- unsupervised object recognition
- few-shot object recognition
- interpretable object recognition
- object recognition based on deep learning
- object recognition based on machine learning
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Published Papers
Sensors - ISSN 1424-8220