Multi-modal object detection using unsupervised transfer learning and adaptation techniques

Autor: Abbott, Rachael, Robertson, Neil, Martinez del Rincon, Jesus, Connor, Barry

Publikováno v: Abbott, R, Robertson, N, Martinez del Rincon, J & Connor, B 2019, ' Multi-modal object detection using unsupervised transfer learning and adaptation techniques ', Paper presented at SPIE Security+Defence, Strasbourg, France, 10/09/2019-12/09/2019 .

Deep neural networks achieve state-of-the-art performance on object detection tasks with RGB data. However, there are many advantages of detection using multi-modal imagery for defence and security operations. For example, the infrared modality offer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2607::c69e3c4ddacc8af181f73c543cad48e9
https://pure.qub.ac.uk/en/publications/multimodal-object-detection-using-unsupervised-transfer-learning-and-adaptation-techniques(944db96c-2f1c-49aa-b61e-dccc83ca60cb).html

Multimodal object detection using unsupervised transfer learning and adaptation techniques

Autor: Dijk, Judith, Abbott, Rachael, Robertson, Neil, Martinez del Rincon, Jesus, Connor, Barry

Publikováno v: Proceedings of SPIE; September 2019, Vol. 11169 Issue: 1 p1116907-1116907-10