Dynamic proposal sampling for weakly supervised object detection

Wenhui Jiang; Zhicheng Zhao; Fei Su; Yuming Fang

doi:10.1016/j.neucom.2021.02.018

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Dynamic proposal sampling for weakly supervised object detection

Wenhui Jiang Zhicheng Zhao Fei Su Yuming Fang

Year: 2021 Journal: Neurocomputing Vol: 441 Pages: 248-259 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2021.02.018

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Keywords:

Computer science Pascal (unit) Discriminative model Artificial intelligence Stochastic gradient descent Object detection Object (grammar) Class (philosophy) Sampling (signal processing) Pattern recognition (psychology) Context (archaeology) Machine learning Image (mathematics) Gradient descent Data mining Detector

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Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Dynamic proposal sampling for weakly supervised object detection

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