Unsupervised Hard Example Mining from Videos for Improved Object Detection

SouYoung Jin; Aruni RoyChowdhury; Huaizu Jiang; Ashish Singh; Aditya Prasad; Deep Chakraborty; Erik Learned-Miller

doi:10.1007/978-3-030-01261-8_19

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Unsupervised Hard Example Mining from Videos for Improved Object Detection

SouYoung Jin Aruni RoyChowdhury Huaizu Jiang Ashish Singh Aditya Prasad Deep Chakraborty Erik Learned-Miller

Year: 2018 Lecture notes in computer science Pages: 316-333 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-01261-8_19

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Keywords:

Computer science False positive paradox Object detection Detector Artificial intelligence Focus (optics) False positives and false negatives Object (grammar) Pedestrian detection Retraining Face (sociological concept) Labeled data True positive rate Machine learning Face detection Data mining Pattern recognition (psychology) Computer vision Facial recognition system Pedestrian

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Unsupervised Hard Example Mining from Videos for Improved Object Detection

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