IR Reasoner: Real-time Infrared Object Detection by Visual Reasoning
Thermal Infrared (IR) imagery is utilized in several applications due to their unique
properties. However, there are a number of challenges, such as small target objects, image …
properties. However, there are a number of challenges, such as small target objects, image …
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information
HR Medeiros, FAG Pena… - Proceedings of the …, 2024 - openaccess.thecvf.com
A powerful way to adapt a visual recognition model to a new domain is through image
translation. However, common image translation approaches only focus on generating data …
translation. However, common image translation approaches only focus on generating data …
Generalization ability of region proposal networks for multispectral person detection
K Fritz, D König, U Klauck… - … Target Recognition XXIX, 2019 - spiedigitallibrary.org
Multispectral person detection aims at automatically localizing humans in images that
consist of multiple spectral bands. Usually, the visual-optical (VIS) and the thermal infrared …
consist of multiple spectral bands. Usually, the visual-optical (VIS) and the thermal infrared …
Infrared target detection and recognition in complex scene
Z Ruzhen, Z Jianlin, Q Xiaoping, Z Haorui… - Opto-electronic …, 2020 - oejournal.org
The mainstream target detection network has outstanding target detection capability in high
quality RGB images, but for infrared images with poor resolution, the target detection …
quality RGB images, but for infrared images with poor resolution, the target detection …
Object detection for rescue operations by high-altitude infrared thermal imaging collected by unmanned aerial vehicles
The analysis of the object detection deep learning model YOLOv5, which was trained on
High-altitude Infrared Thermal (HIT) imaging, captured by Unmanned Aerial Vehicles (UAV) …
High-altitude Infrared Thermal (HIT) imaging, captured by Unmanned Aerial Vehicles (UAV) …
Depthwise convolution for compact object detector in nighttime images
H Patel, K Prajapati, A Sarvaiya… - Proceedings of the …, 2022 - openaccess.thecvf.com
Despite thermal imaging primarily used for night-time surveillance, uniform temperature of
object and background makes it difficult to acquire details in the scene being observed and …
object and background makes it difficult to acquire details in the scene being observed and …
Illumination-Aware Hallucination-Based Domain Adaptation for Thermal Pedestrian Detection
Thermal imagery is emerging as a viable candidate for 24-7, all-weather pedestrian
detection owning to thermal sensors' robust performance for pedestrian detection under …
detection owning to thermal sensors' robust performance for pedestrian detection under …
Augmentation of atmospheric turbulence effects on thermal adapted object detection models
E Uzun, AA Dursun… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Atmospheric turbulence has a degrading effect on the image quality of long-range
observation systems. As a result of various elements such as temperature, wind velocity …
observation systems. As a result of various elements such as temperature, wind velocity …
Onboard sensor systems for automatic train operation
R Tagiew, D Leinhos, H von der Haar, C Klotz… - European Dependable …, 2022 - Springer
This paper introduces the specific requirements of the domain of train operation and its
regulatory framework to the AI community. It assesses sensor sets for driverless and …
regulatory framework to the AI community. It assesses sensor sets for driverless and …
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer
Recent object detection models for infrared (IR) imagery are based upon deep neural
networks (DNNs) and require large amounts of labeled training imagery. However, publicly …
networks (DNNs) and require large amounts of labeled training imagery. However, publicly …