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    3. Towards Learning Object Detectors with Limited Data for Industrial Applications

    Towards Learning Object Detectors with Limited Data for Industrial Applications

    Posted By: readerXXI
    Date: 17 Apr 2025 21:54:23
    Towards Learning Object Detectors with Limited Data for Industrial Applications

    Towards Learning Object Detectors with Limited Data for Industrial Applications
    Karim Guirguis
    English | 2024 | ISBN: 9783731513896 | 262 Pages | True PDF | 52 MB

    In this dissertation, three novel Generalized Few-Shot Object Detection (G-FSOD) approaches are presented to minimize the forgetting of previously learned classes while learning new classes with limited data. The first two approaches reduce the forgetting of base classes if they are still available during training. The third approach, for scenarios without base data, uses knowledge distillation to improve the knowledge transfer.

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