… up domain adaptation for thermal pedestrian detection, in this article we focus on improving
pedestrian detection results on thermal-… CNN-based thermal infrared person detection by do- …

… domain adaptation of pedestrian detectors to thermal imagery. Our key idea is to augment a
detector … A few works have addressed pedestrian detection using thermal (IR) imagery only. …

… Several CNN-based pedestrian detection methods compete for the state-of-the-art on …
For example, the idea from [9] was to transform infrared data (thermal domain) as close as …

… approach for domain adaptation to enhance the performance of pedestrian detection based
solely on thermal images… Beyerer, “CNN-based thermal infrared person detection by domain …

… pedestrian detection in thermal infrared (thermal) images with limited annotations. The key
idea is to adapt … To this end, we couple a domain adaptation component that consists of a pair …

… trained on ImageNet and adapted them to detect in the visible or infrared spectrum. Halfway
fusion … Several CNN-based pedestrian detection methods compete for the state-of-the-art on …

… through the combination of domain adaptation and fine-tuning … Therefore, most CNN-based
face PAD methods function in a … We apply MTCNN face detector [31] to detect the face and …

… Next, this research developed a CNN-based human detection approach that can perform …
in terms of the object neighborhood. To verify the detection performance of the proposed …

… In this study, the topic of interest is object detection and tracking. CNN-based DL models …
-of-the-art for real-time object detection and recognition on the edge – a common requirement …

… Near-infrared image in this paper refer to images containing the information of the object
under the wavelength of the near-infrared … Liu, “Multi-channel cnn-based object detection for …