Uzun, EnginAksoy, TolgaAkagunduz, Erdem01. Çankaya Üniversitesi2022-05-272025-09-182022-05-272025-09-182020Uzun, Engin; Aksoy, Tolga; Akagündüz, Erdem (2020). "Infrared Target Detection using Shallow CNNs", 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings, Gaziantep, 5 October 2020.97817281720642165-0608https://doi.org/10.1109/SIU49456.2020.9302501https://hdl.handle.net/20.500.12416/14017Convolutional Neural Networks can solve the target detection problem satisfactorily. However, the proposed solutions generally require deep networks and hence, are inefficient when it comes to utilising them on performance-limited systems. In this paper, we study the infrared target detection problem using a shallow network solution, accordingly its implementation on a performance limited system. Using a dataset comprising real and simulated infrared scenes; it is observed that, when trained with the correct training strategy, shallow networks can provide satisfactory performance, even with scale-invariance capability.trinfo:eu-repo/semantics/closedAccessInfrared Target DetectionShallow NetworksTwo Step LearningConference Object10.1109/SIU49456.2020.93025012-s2.0-85100300445