Multimodal object detection using unsupervised transfer learning and adaptation techniques
spiedigitallibrary.org
Multimodal object detection using unsupervised transfer learning and adaptation techniques
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 IR modality offers persistent surveillance and is essential in poor lighting conditions and 24hr operation. It is ...
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