LoFTR: Detector-Free Local Feature Matching with Transformers [PDF]
Computer Vision and Pattern Recognition, 2021 We present a novel method for local image feature matching. Instead of performing image feature detection, description, and matching sequentially, we propose to first establish pixel-wise dense matches at a coarse level and later refine the good matches ...
Jiaming Sun +4 more
semanticscholar +1 more source
ReDet: A Rotation-equivariant Detector for Aerial Object Detection [PDF]
Computer Vision and Pattern Recognition, 2021 Recently, object detection in aerial images has gained much attention in computer vision. Different from objects in natural images, aerial objects are often distributed with arbitrary orientation.
Jiaming Han +3 more
semanticscholar +1 more source
µRANIA-V: an innovative solution for neutron detection in homeland security [PDF]
EPJ Web of Conferences, 2021 Detection of neutrons is becoming of the utmost importance, especially in the studies of radioactive waste and in homeland security applications. The crisis of 3He availability has required the development of innovative techniques.
Farinelli R. +21 more
doaj +1 more source
Photoelectric Performance Simulation of Small-Pixel InSb Infrared Focal Plane Devices [PDF]
Hangkong bingqi, 2022 Small-pixel is one of the development directions of InSb infrared focal plane devices, but it will have a greater impact on the photocurrent response and crosstalk of the device. Therefore, the mesa junction device model, the planar junction device model
Zhu Xubo, Li Mo, He Yingjie, Lü Yanqiu
doaj +1 more source
Linear smoke detectors in fire protection [PDF]
Tehnika, 2021 Smoke detectors generally present the most frequently used fire detectors. These detectors have great appliance because smoke presents the consequence of many fires.
Jevtić Radoje B.
doaj +1 more source
The (Un)reasonable Effectiveness of Neural Network in Cherenkov Calorimetry
Instruments, 2022 We report a greater than factor of two improvement in the hadronic energy resolution of a simulated Cherenkov calorimeter by estimating the energy with machine learning over traditional techniques.
Nural Akchurin +4 more
doaj +1 more source
DEVELOPMENT AND EXPERIMENTAL VALIDATION OF RESPONSE MODELLING FOR TIME-OF-FLIGHT NEUTRON DETECTION AND IMAGING SYSTEMS [PDF]
EPJ Web of Conferences, 2021 The application and feasibility of a time-of-flight neutron detection system is explored for sources with time correlated gamma-ray and neutron emissions, such as the spontaneous fission emitter, Cf-252.
Bradnam Steven C. +5 more
doaj +1 more source
YOLO-FaceV2: A Scale and Occlusion Aware Face Detector [PDF]
Pattern Recognition, 2022 In recent years, face detection algorithms based on deep learning have made great progress. These algorithms can be generally divided into two categories, i.e. two-stage detector like Faster R-CNN and one-stage detector like YOLO.
Ziping Yu +5 more
semanticscholar +1 more source
Line heat detectors and their appliance in the case of auto parking garage [PDF]
Tehnika, 2022 Fire presents almost everyday occurrence in people's life and work. The fight against fire must be fast and effective because consequences can be inconceivable, in the sense of human lives and material properties.
Jevtić Radoje B., Janković Ivana D.
doaj +1 more source
3DSSD: Point-Based 3D Single Stage Object Detector [PDF]
Computer Vision and Pattern Recognition, 2020 Prevalence of voxel-based 3D single-stage detectors contrast with underexplored point-based methods. In this paper, we present a lightweight point-based 3D single stage object detector 3DSSD to achieve decent balance of accuracy and efficiency.
Zetong Yang +3 more
semanticscholar +1 more source