A comprehensive survey of deep learning-based lightweight object detection models for edge devices

Mittal, Payal

doi:10.1007/s10462-024-10877-1

Artif Intell Rev

2024

DOI: 10.1007/s10462-024-10877-1

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A comprehensive survey of deep learning-based lightweight object detection models for edge devices

Payal Mittal

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Cited by 2 publications

References 195 publications

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A review of unmanned aerial vehicle based remote sensing and machine learning for cotton crop growth monitoring

Aierken,

Yang,

et al. 2024

Computers and Electronics in Agriculture

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A review of unmanned aerial vehicle based remote sensing and machine learning for cotton crop growth monitoring

Aierken,

Yang,

et al. 2024

Computers and Electronics in Agriculture

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The YOLO Framework: A Comprehensive Review of Evolution, Applications, and Benchmarks in Object Detection

Ali,

Zhang

2024

Computers

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This paper provides a comprehensive review of the YOLO (You Only Look Once) framework up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has revolutionized the field by achieving an optimal balance between speed and accuracy. The review traces the evolution of YOLO variants, highlighting key architectural improvements, performance benchmarks, and applications in domains such as healthcare, autonomous vehicles, and robotics. It also evaluates the framework’s strengths and limitations in practical scenarios, addressing challenges like small object detection, environmental variability, and computational constraints. By synthesizing findings from recent research, this work identifies critical gaps in the literature and outlines future directions to enhance YOLO’s adaptability, robustness, and integration into emerging technologies. This review provides researchers and practitioners with valuable insights to drive innovation in object detection and related applications.

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A comprehensive survey of deep learning-based lightweight object detection models for edge devices

Cited by 2 publications

References 195 publications

A review of unmanned aerial vehicle based remote sensing and machine learning for cotton crop growth monitoring

A review of unmanned aerial vehicle based remote sensing and machine learning for cotton crop growth monitoring

The YOLO Framework: A Comprehensive Review of Evolution, Applications, and Benchmarks in Object Detection

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