Litcius/Paper detail

A systematic study of the class imbalance problem: Automatically identifying empty camera trap images using convolutional neural networks

Dengqi Yang, Tao Li, Mengtao Liu, Xiaowei Li, Benhui Chen

2021Ecological Informatics30 citationsDOI

Topics & Concepts

Artificial intelligenceComputer scienceOversamplingDeep learningConvolutional neural networkClass (philosophy)Context (archaeology)Set (abstract data type)Camera trapMachine learningImage (mathematics)Data setPattern recognition (psychology)Computer visionProgramming languageSociologyBandwidth (computing)DemographyPaleontologyBiologyPopulationComputer networkImbalanced Data Classification TechniquesDomain Adaptation and Few-Shot LearningDigital Imaging for Blood Diseases
A systematic study of the class imbalance problem: Automatically identifying empty camera trap images using convolutional neural networks | Litcius