Uncertainty-aware object detection via Bayesian deep learning

Project Member(s): Xuan, J.

Start year: 2019

Publications:

Duan, W, Xuan, J, Qiao, M & Lu, J 1970, 'Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples', Proceedings of the AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI), pp. 6550-6558.
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Xuan, J, Lu, J & Zhang, G 2021, 'Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining', ACM Transactions on Intelligent Systems and Technology, vol. 12, no. 1, pp. 1-22.
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FOR Codes: Computer Vision, Pattern Recognition and Data Mining, Decision Support and Group Support Systems, Information Processing Services (incl. Data Entry and Capture), Expanding Knowledge in the Information and Computing Sciences, Application Software Packages (excl. Computer Games), Deep learning, Application software packages, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.