… 16 3.2 Overview of fusion of visual and infrared spectrum for moving object detection. . 17
3.3 Convolutional neural network architecture used for image classification. . . . . . . 19 3.4 …

… the first work addressing adaptation across modalities (RGB to IR) for object detection. The
… domain adaptation using a domain classifier. The network is invariant to shifts in the domain …

… could be to develop a CNN-based architecture to generate an … to deal with SR and domain
adaptation at the same time. … template approach to person detection in thermal imagery. In …

… In CNN-based image recognition and detection, it can … The transfer learning in the domain
adaptation 37 is very efficient… the effect of pedestrian detection based on the fusion of IR and …

… ear recognition in the visible and thermal infrared domains. We examine multiple … CNNbased
models recognition performance with transfer learning only (ie without domain adaptation…

… A robust thermal infrared vehicle and pedestrian detection method in complex scenes. …
Cnn-based action recognition and supervised domain adaptation on 3d body skeletons via kernel …

… the surface temperature distribution of equipment by detecting the radiated infrared energy
… -art deep pretrained CNN-based algorithms and two shallow CNN-based algorithms for the …

… [40] propose a metalearning strategy for unsupervised domain adaptation in thermal ATR. …
of several popular, generic, CNN-based object detection models: YOLOv3, YOLOv5, Faster R-…

… the domain bias which exists between the IR images and the VIS images. One of the reasons
why CNN-based face … For the face detection, we used the MTCNN model and FaceNet for …

… to cross-domain object detection (CDOD), cross-domain anomaly detection (CDAD),
cross-domain human action recognition (CDHAR), and cross-domain crowd counting (CDCC) are …