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Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks

Very happy to announce that our last effort for developing Deep-Based Efficient Anomaly Detection Methods in the context of Loïc Jezequel’s PhD and IDEMIA collaboration has been accepted for publication in IEEE Transactions on Image Processing!

L. Jézéquel, N. -S. Vu, J. Beaudet and A. Histace, “Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks,” in IEEE Transactions on Image Processing, vol. 32, pp. 807-821, 2023, doi: 10.1109/TIP.2022.3231532.

All details here https://ieeexplore.ieee.org/document/10012327 and here https://arxiv.org/abs/2111.12379

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