… the object detector and the domain adaptation strategies we … state-of-the-art object detector
that we briefly review in Section 4.1… the pedestrian detection task by proposing a CNN-based …

… tracker through the construction of a CNN-based prediction model that considers … for
pedestrian detection by incorporating a semantic segmentation branch and a domain adaptation …

… [90] focuses on the methods of DL of VIS-IR with four DL types: CNN-based [91], GAN-based
[92], Siamese network-based, and Autoencoder (AE) methods over the available data sets […

… for tasks such as object detection, localisation, and navigation. Thermal infrared sensors,
in … Depiction of the image dehazing process using GoogLeNet, a CNN-based classification …

… First, infrared thermal images are collected and used to … identification of a cooling radiator
using thermal images. However, the current CNN-based diagnosis approaches with thermal …

… Thermal infrared region depicted in Figure 1 is the region for which different IR imaging …
As a result, nowadays multiple variations of a Faster R-CNN based architectures exist. [26] …

… Object detection in thermal infrared imagery finds various applications including detection of
human … outperforming results of Faster R-CNN-based algorithms is a longer processing time…

… using CNN-based feature extraction from IR thermal images 20 , and an unsupervised
Adversarial Regressive Domain Adaptation … developed YOLO-CIR, an infrared object detection …

… , we propose the integration of thermal infrared (IR) sensors, as these re… Dannet: A one-stage
domain adaptation network for unsu… Cnn based color and thermal image fusion for object …

… for infrared small object detection. Fan et al. [20] designed a CNN-based architecture to …
Pan, “Metaknowledge learning and domain adaptation for unseen background subtraction,” …