Object Re-IDentification (ReID), one of the most significant problems in biometrics and surveillance systems, has been extensively studied by image processing and computer vision communities in the past decades. Learning a robust and discriminative feature representation is a crucial challenge for object ReID. The problem is even more challenging in ReID based on Unmanned Aerial Vehicle (UAV) as the images are characterized by continuously varying camera parameters (e.g., view angle, altitude, etc.) of a flying drone. To address this challenge, multiscale feature representation has been considered to characterize images captured from UAV flying at different altitudes. In this work, we propose a multitask learning approach, which employs a new multiscale architecture without convolution, Pyramid Vision Transformer (PVT), as the backbone for UAV-based object ReID. By uncertainty modeling of intraclass variations, our proposed model can be jointly optimized using both uncertainty-aware object ID and camera ID information. Experimental results are reported on PRAI and VRAI, two ReID data sets from aerial surveillance, to verify the effectiveness of our proposed approach
T-SiamTPN: Temporal Siamese Transformer Pyramid Networks for Robust and Efficient UAV Tracking
Department of Electrical Engineering, Amirkabir University of Technology (AUT)（电气工程系，阿米尔卡比尔技术大学）；Qatar Computing Research Institute Hamad Bin Khalifa University（卡塔尔计算研究所，哈马德·本·卡西姆大学）
LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing Images
School of Medical Instruments, Shanghai University of Medicine and Health Sciences（上海健康医学院医疗器械学院）；School of Health Sciences and Engineering, University of Shanghai for Science and Technology（上海理工大学健康科学与工程学院）；Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University（上海交通大学医学院附属上海儿童医学中心）；School of Communication & Electronic Engineering, East China Normal University（华东师范大学通信与电子工程学院）；Institute of Seismology, China Earthquake Administration（中国地震局地震研究所）
A Multitask Deep Learning Model for Classification and Regression of Hyperspectral Images: Application to the large-scale dataset
Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay（印度理工学院孟买分校资源工程研究中心）；LISTIC, Université Savoie Mont-Blanc（萨瓦勃朗峰大学LISTIC实验室）；Indian Institute of Remote Sensing, ISRO（印度空间研究组织印度遥感研究所）
LAF-YOLOv10 with Partial Convolution Backbone, Attention-Guided Feature Pyramid, Auxiliary P2 Head, and Wise-IoU Loss for Small Object Detection in Drone Aerial Imagery
Department of Information Technology（信息科技系）；Department of Computer Science and Engineering（计算机科学与工程系）
Geometry-Aware Cross-Height Channel Knowledge Map Prediction for UAV-Assisted Communications With Uncertainty-Guided 3D Sensing
National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China (UESTC)（电子科技大学无线通信国家重点实验室）；SDAIA-KFUPM Joint Research Centre of AI, King Fahd University of Petroleum and Minerals（沙特数据和人工智能局-法赫德国王石油矿产大学人工智能联合研究中心）；School of Science, Technology and Engineering, University of the Sunshine Coast（阳光海岸大学科学技术与工程学院）；Anhui Science and Technology University（安徽科技学院）；College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications（南京邮电大学通信与信息工程学院）
Decoupling Ego-Motion from Target Dynamics via Dual-Interval Motion Cues for UAV Detection
Department of Robotics, School of Advanced Manufacturing and Robotics（机器人学院，先进制造与机器人学院）；State Key Laboratory of Turbulence and Complex Systems（湍流与复杂系统国家重点实验室）；Peking University（北京大学）；Great Bay University（大湾大学）
High-Frequency Semantics and Geometric Priors for End-to-End Detection Transformers in Challenging UAV Imagery
College of Mathematics and Informatics（数学与信息学院）；South China Agricultural University（华南农业大学）；Key Laboratory of Smart Agricultural Technology in Tropical South China, Ministry of Agriculture and Rural Affairs（热带南中国智能农业技术重点实验室，农业农村部）；School of Economics and Trade（经济贸易学院）
DetReIDX: A Stress-Test Dataset for Real-World UAV-Based Person Recognition
Instituto de Telecomunicações（电信研究所）；University of Beira Interior（贝拉内尔大学）；J.N.N. College of Engineering（J.N.N. 工程学院）；School of Computational Sciences（计算科学学院）；SRTM University（SRTM 大学）；Istanbul Medipol University（伊斯坦布尔梅迪波尔大学）；SRM Institute of Science and Technology（SRM 科学与技术研究所）
