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  1. 1
    Object detection models and active learning for improvement of e-waste collection management systems in Korea

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  2. 2
    MedBin A lightweight End-to-End model-based method for medical waste management

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  3. 3
    CODD A benchmark dataset for the automated sorting of construction and demolition waste

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  4. 4
    DSYOLO-trash An attention mechanism-integrated and object tracking algorithm for solid waste detection
    par Ma, Wanqi
    Publié dans: Waste management (New York, N.Y.) (2024)

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  5. 5
    Quantification of litter in cities using a smartphone application and citizen science in conjunction with deep learning-based image processing

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  6. 6
    A state-of-the-art survey of object detection techniques in microorganism image analysis from classical methods to deep learning approaches
    par Ma, Pingli
    Publié dans: Artificial intelligence review (2023)

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  7. 7
    Real-time construction demolition waste detection using state-of-the-art deep learning methods; single-stage vs two-stage detectors

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  8. 8
    Study on the real-time object detection approach for end-of-life battery-powered electronics in the waste of electrical and electronic equipment recycling process

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  9. 9
    Towards automatic waste containers management in cities via computer vision containers localization and geo-positioning in city maps

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  10. 10
    An automatic sorting system for electronic components detached from waste printed circuit boards

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  11. 11
    Deep learning-based waste detection in natural and urban environments

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  12. 12
    A deep convolutional neural network to simultaneously localize and recognize waste types in images

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  13. 13
    Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection

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  14. 14
    Video Salient Object Detection via Fully Convolutional Networks

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