Detection and Tracking Meet Drones Challenge

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Ren, S., He, K., Girshick, R., & Sun, J. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2577031 · Cited by 73,472

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Ren, S., He, K., Girshick, R., & Sun, J. (2015) · arXiv · doi:10.48550/arxiv.1506.01497 · Cited by 70,812

Microsoft COCO: Common Objects in Context

Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., & Zitnick, C. L. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10602-1_48 · Cited by 45,460

ImageNet Large Scale Visual Recognition Challenge

Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-015-0816-y · Cited by 39,380

Squeeze-and-Excitation Networks

Hu, J., Shen, L., & Sun, G. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00745 · Cited by 35,667

Untitled work

(2016) · Cited by 31,590

Feature Pyramid Networks for Object Detection

Lin, T.-Y., Dollar, P., Girshick, R., He, K., Hariharan, B., & Belongie, S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.106 · Cited by 30,939

Focal Loss for Dense Object Detection

Lin, T.-Y., Goyal, P., Girshick, R., He, K., & Dollar, P. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.324 · Cited by 30,581

Mask R-CNN

He, K., Gkioxari, G., Dollar, P., & Girshick, R. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.322 · Cited by 29,137

Fast R-CNN

Girshick, R. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.169 · Cited by 28,105

VFD-YOLO: A Novel Method for Vehicle Detection from a Drone Perspective

Liu, Z., Xu, Y., Xie, H., & He, Z. (2026) · Aerospace · doi:10.3390/aerospace13080745 · Cited by 1

Cascaded Multi-Scale Aggregation With Hierarchical Task Alignment for Aerial Small Object Detection

Cao, B., Yang, Z., Kan, M., Yang, Y., Wang, W., Chen, W., Wang, Y., & Zhou, P. (2026) · IEEE Access · doi:10.1109/access.2026.3727614 · Cited by 1

HSF-Net: A Hierarchical Edge Enhancement and Sparse-Aware Fusion Network for Small Object Detection in UAV Aerial Imagery

Li, J., Zeng, Q., Duan, S., Wu, J., Li, B., Sun, Y., & Gao, Q. (2026) · Drones · doi:10.3390/drones10090652 · Cited by 1

DQSA-DETR: A Density-Guided Adaptive DETR Framework for Tiny Object Detection in Remote Sensing Images

Gao, F., & Liu, C. (2026) · IEEE Access · doi:10.1109/access.2026.3728183 · Cited by 1

Large Language Models for UAV Autonomy from a Perception–Cognition–Action Perspective

Xiong, T., Zhan, J., Deng, Q., Wang, X., Fan, C., Liu, X., & Zhang, T. (2026) · Drones · doi:10.3390/drones10090669 · Cited by 1

Development of a Semi-Automated Tool Based on Computer Vision Methods for Safety Assessment of Micromobility Users

Fonseca-Cabrera, A. S., Llopis-Castelló, D., & García, A. (2026) · Sensors · doi:10.3390/s26185713 · Cited by 1

LDF-Net: a transformer-based lightweight detail fusion network for UAV engineering vehicle detection

Zhang, H., Song, K., He, X., Fei, T., Ma, X., Wang, K., & Wang, B. (2026) · Journal of King Saud University - Computer and Information Sciences · doi:10.1007/s44443-026-01314-0 · Cited by 1

SFS-DETR: Spatial-Frequency Selection for UAV Object Detection

Jia, D., Wang, J., Zhang, L., Liu, Z., & Wang, X. (2026) · doi:10.1109/cvprf71909.2026.00632 · Cited by 1

Aerial tracking of camouflaged people in woodlands

Liu, Y., Wang, C.-Q., Xu, B., & Zhou, Y. (2023) · Journal of Electronic Imaging · doi:10.1117/1.jei.32.6.063018 · Cited by 2

Object Detection in UAV Images Based on RT-DETR with CG Downsampling and CCFMP

Yu, C., & Shin, Y. (2024) · IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS) · doi:10.1109/apwcs61586.2024.10679331 · Cited by 1

Design of Border Patrol Robot System Based on ROS

Li, X., Chen, Y., & Wang, H. (2024) · IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems · doi:10.1109/cyber63482.2024.10748993 · Cited by 1

Improved high-precision UAV small object detection model based on YOLOv8

Huang, W. (2024) · International Conference on Image Processing, Machine Learning and Pattern Recognition (IPMLPR) · doi:10.1145/3700906.3700970 · Cited by 1

Toward Enhanced Tracking of Tiny Airborne Objects Using YOLOv8 and Particle Filter

Lee, J., Cho, S., Shin, H., & Kim, S.-B. (2025) · AIAA SciTech Forum · doi:10.2514/6.2025-0628 · Cited by 1

Enhancing Agricultural Surveillance: An Edge‐A and LoRa‐Based Vision Mote System for Infrastructure‐Deficient Regions

Dutta, S., Singh, R., Gehlot, A., Srivastava, P. C., Srivastava, K., Malik, P. K., & Gupta, G. (2025) · Engineering Reports · doi:10.1002/eng2.70243 · Cited by 1

YOLOv8s-DroneNet: Small Object Detection Algorithm Based on Feature Selection and ISIoU

Peng, J., He, H., & Zhang, D. (2025) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2025.066368 · Cited by 1

Time-Series Correlation Optimization for Forest Fire Tracking

Yang, D., Nie, G., Xu, X., Zhang, D., & Wang, X. (2025) · Forests · doi:10.3390/f16071101 · Cited by 1

Enhancing Transformer-Based Object Detection Model for Aerial Images

Nguyen, D., Hoang, V.-D., & Le, V.-T.-L. (2025) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-032-01472-6_16 · Cited by 1

MVPOD: A Dataset and Benchmark for Multi-Vertical-Perspective Object Detection in Multi-Platform Remote Sensing Images

Jin, H., Chen, J., Zhang, Y., Su, H., & Wang, B. (2025) · Remote Sensing · doi:10.3390/rs17173029 · Cited by 1

TATrack: Target-oriented adaptive vision transformer for UAV tracking

Zhang, W., Xu, T., Xie, F., Wu, J., & Yang, W. (2025) · Neural Networks · doi:10.1016/j.neunet.2025.108067 · Cited by 1

AHOD: adaptive hybrid object detector for context-aware and real-time object detection in complex environments

Aman, S. S., N'GUESSAN, B. G., Prosper, K. K., & Tiémoman, K. (2025) · Discover Applied Sciences · doi:10.1007/s42452-025-07784-7 · Cited by 1

How2Compress : Scalable and Efficient Edge Video Analytics via Adaptive Granular Video Compression

Wu, Y., Nguyen, T.-T., Liebe, L., Tau, Q., Campos, P. E., Cheng, J., & Lee, D. (2025) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3746027.3754922 · Cited by 1

RWD-YOLO: A Novel Approach for Small Object Detection in Aerial Drone Imagery

Hong, W., Yan, H., Wu, W., & Huang, X. (2025) · Lecture notes in computer science · doi:10.1007/978-981-95-3729-7_1 · Cited by 1

Cognitive embodied learning for anomaly active target tracking

Wu, Q., Li, J., Zhou, F., Ji, J., Wang, H., Liang, H., & Ma, K. (2025) · Communications Engineering · doi:10.1038/s44172-025-00556-6 · Cited by 1

Utilization of remote sensing in post-disaster recovery for environmental damage assessment

Andrianto, D., & Supriyadi, A. A. (2025) · Remote Sensing Technology in Defense and Environment. · doi:10.61511/rstde.v2i1.2025.1778 · Cited by 1

Real-Time Video Analytics for Urban Safety: Deployment over Edge and End Devices

Ghasemi, M., Fu, Y., Ouyang, X., Wang, P., Türkcan, M. K., Tavori, J., Kleisarchaki, S., Calmant, T., Gürgen, L., Kostić, Z., et al. (2025) · ACM/IEEE Symposium on Edge Computing (SEC) · doi:10.1145/3769102.3770618 · Cited by 1

A configurable global context reconstruction hybrid detector for enhanced small object detection in UAV aerial imagery

Xue, H., Gao, T. Y., Tang, Z., Xia, Y., Wang, L., & Li, L. (2025) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2025.104598 · Cited by 1

MAR-YOLO: multi-scale feature adaptive selection and asymptotic pyramid for oriented Building detection in remote sensing images

Zhao, Y., & Qian, H. (2025) · Scientific Reports · doi:10.1038/s41598-025-33107-2 · Cited by 1

RICO: Two Realistic Benchmarks and an In-Depth Analysis for Incremental Learning in Object Detection

Neuwirth-Trapp, M., Bieshaar, M., Paudel, D. P., & Goo, L. V. (2025) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw69036.2025.00543 · Cited by 1

人工智能与遥感科学交叉研究综述：现状与展望

Wei, H., Wang, Z., Genyun, S., Gong, C., Xu, T., Chen, W., Liming, H., Ren, H., Ting, H., Shou, F., et al. (2026) · National Remote Sensing Bulletin · doi:10.11834/jrs.20265510 · Cited by 1

AESOD: Towards accurate and efficient general-purpose small object detection

Peng, J., Lv, K., Lin, D., & Yuan, L. (2026) · Digital Signal Processing · doi:10.1016/j.dsp.2026.106037 · Cited by 1

Toward Enhanced Tracking of Small Airborne Objects Using Transformer-Based Particle Filter

Lee, J., Cho, S., Shin, H., & Kim, S. (2026) · Journal of Aerospace Information Systems · doi:10.2514/1.i011699 · Cited by 1

CSM-DETR: construction site monitoring via Mamba-Enhanced detection transformer for UAV aerial imagery

Zhang, L. (2026) · Journal of King Saud University - Computer and Information Sciences · doi:10.1007/s44443-026-00628-3 · Cited by 1

Multimodal AI teacher: Integrating edge computing and reasoning models for enhanced student error analysis

Xu, T., Zhang, Y., Chu, Z., & Wen, Q. (2026) · AI Magazine · doi:10.1002/aaai.70053 · Cited by 1

Real-time tiny object detection in UAV aerial images with multi-scale attention fusion

Gao, J., Zhang, Y., Fan, Y., & Tian, B. (2026) · Journal of Real-Time Image Processing · doi:10.1007/s11554-026-01873-5 · Cited by 1

SkyFind: A Large-Scale Benchmark Unveiling Referring Expression Comprehension for UAV

Wang, K., Wu, G., Fu, X., Wang, X., Liu, K., Lu, X. B., Ge, C., Zhai, W., & Zhang, J. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2026.3681112 · Cited by 1

ARF-YOLO: Attention-guided adaptive resolution-aware feature learning for UAV remote sensing object detection

Zhang, L. (2026) · Journal of King Saud University - Computer and Information Sciences · doi:10.1007/s44443-026-00892-3 · Cited by 1

MMAF-YOLO: A UAV object detection network based on multi-scale mutual aggregation and fine-grained feature modulation

Yang, L., Wu, X., Wang, X., & Zhang, L. (2026) · Journal of King Saud University - Computer and Information Sciences · doi:10.1007/s44443-026-00787-3 · Cited by 1

DV-YOLO: a deep learning framework for small-object detection in UAV-based remote sensing imagery with applications to smart logistics

Alsheikhy, A. A., Barr, M., Boubaker, S., & Said, Y. (2026) · AIMS Mathematics · doi:10.3934/math.2026494 · Cited by 1

WiSAR3D - Aerial LiDAR dataset for 3D object detection

Shrout, O., Nizan, O., Ben-Shabat, Y., & Tal, A. (2026) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv61042.2026.00636 · Cited by 1

SynPlay: Large-Scale Synthetic Human Data with Real-World Diversity for Aerial-View Perception

Yim, J., Lee, H., Eum, S., Shen, Y., Zhang, Y., Kwon, H., & Bhattacharyya, S. S. (2026) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv61042.2026.00098 · Cited by 2

Automatic Counting of Moving Vehicles and Pedestrians from UAVs: a Case Study for Cities in Yucatán, Mexico

Salcedo-Delgado, J. A., Hernandez-Lopez, F. J., Muñiz-Sánchez, V., Forti-Sosa, S., Pérez-Pech, E., Batard, T., & Hayet, J.-B. (2026) · International Journal of Intelligent Transportation Systems Research · doi:10.1007/s13177-026-00663-4 · Cited by 1

RFE-YOLO: A Lightweight Receptive Field-Enhanced Network for UAV Imagery Object Detection

Peng, Y., & Ge, X. (2026) · Sensors · doi:10.3390/s26092903 · Cited by 1

HSD-DETR: An Efficient Hybrid Scale Dynamic Network for Small Object Detection in Remote Sensing Images

Xu, J., Liu, W., Tian, R., Wang, C., & Zhang, Y. (2026) · Remote Sensing · doi:10.3390/rs18101577 · Cited by 1

Adaptive Image Batching and Slicing in Edge Networks for Delay-Critical Small Object Detection

Zou, H., Guo, J., Sun, S. Y., Liang, Y., Xu, C., Zhao, Y., Zhao, S., & Wang, T. (2026) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2026.3694562 · Cited by 1

AI-assisted pedestrian detection and enumeration from aerial perspectives

Ahmed, O., Pieroni, R., Hardy, B., & Khalid, A. (2026) · International Journal of Advanced Robotic Systems · doi:10.1177/17298806261453409 · Cited by 1

Density-aware adaptive label assignment for end-to-end dense detection in drone images

Liu, C., Chen, Y., Yin, N., Zhao, G., & Qian, X. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.133189 · Cited by 1

DSPE-ViT: a lightweight vision transformer with dynamic sparse positional encoding for dense small object detection in UAV imagery

Cai, L., & Li, S. (2026) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2026.1849093 · Cited by 1

Robust Onion: Peeling Open Vocab Object Detectors Under Noise

Pathak, P., Karuppasamy, M., Baranwal, A., Vyas, S., & Rawat, Y. S. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-37095-2_20 · Cited by 1

UFO-DETR: Frequency-Guided End-to-End Detector for UAV Tiny Objects

Chen, Y., Lin, K., Wu, Q., Yang, X., Lai, J., Chen, R., Shi, H. Z., He, M., & Wang, M. (2026) · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · doi:10.1109/cscwd68734.2026.11581572 · Cited by 1

ScaleFusion: hierarchical feature aggregation for unified multiscale object detection

Yaylaci, A., KAYA, B., & Kılıçarslan, M. (2026) · TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES · doi:10.55730/1300-0632.4200 · Cited by 1

FDQ-Det: Frequency-Aware Spatial Modeling and Density-Guided Query for Tiny Object Detection

Ma, Z., & Hu, H. (2026) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3831708 · Cited by 1

UF-YOLO: Unified feature modeling for robust cotton apical bud detection in agricultural videos

Jia, L., Liu, J. S., Kong, B., Liu, Y., & Liu, S. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.133658 · Cited by 1

LDDF-YOLO: improved YOLOv8 lightweight detail dynamic fusion algorithm for remote sensing object detection

Bo, S., Wei, Z., Lu, Y., Hao, X., Wang, Y., & Zhou, P. (2026) · Journal of Real-Time Image Processing · doi:10.1007/s11554-026-01946-5 · Cited by 1

An enhanced RT-DETR with frequency decoupling and orthogonal regularization for UAV infrared small target detection

Xiao, P., & Zhang, H. (2026) · iScience · doi:10.1016/j.isci.2026.116700 · Cited by 1

PFE-Det: Progressive Feature Evolution for Small Object Detection in UAV Aerial Images

Fang, A., zhang, Y., Dong, X., Gu, L., Li, S. G., Zhu, D., & Xiao, X. (2026) · Sensors · doi:10.3390/s26155003 · Cited by 1

FSA-DETR: A Frequency-Aware and Structure-Aligned DETR for Small-Object Detection in UAV Aerial Imagery

Liu, H., Ling, Z., Yang, W., Wang, Y., & Xia, L. (2026) · Electronics · doi:10.3390/electronics15163701 · Cited by 1

GAD-YOLO: A Multi-Level Feature Enhancement Network for Dense Small Traffic Object Detection in Intelligent Transportation Systems

Yuan, H., Li, X., Zhu, J., Zhang, L., Yang, D., & Li, X. (2026) · Information · doi:10.3390/info17080797 · Cited by 1

Spatial–Frequency Response Aware Synergy for Small-Object Detection in UAV Aerial Imagery

Luan, D., Yang, C., Zhang, C., & Li, P. (2026) · Algorithms · doi:10.3390/a19080699 · Cited by 1

DGQ-YOLO: Depth-Guided Quality-Aware detection with Pseudo-Depth for aerial imagery

Hou, X., & Liu, W. (2026) · Journal of King Saud University - Computer and Information Sciences · doi:10.1007/s44443-026-01167-7 · Cited by 1

SRGAN-TQT, an Improved Motion Tracking Technique for UAVs with Super-Resolution Generative Adversarial Network (SRGAN) and Temporal Quad-Tree (TQT)

More, D., Acharya, S., & Aryan, S. (2022) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2022-26-0021 · Cited by 1

Half-Instance Normalization for Accurate Object Detection in Hazy Conditions

Pham, L. H., Tran, D. N., & Jeon, J. W. (2022) · IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) · doi:10.1109/icce-asia57006.2022.9954820 · Cited by 1

Detecting Microatolls from Drone Images

Zhou, Z., Wang, L., & Hamylton, S. M. (2022) · International Conference on Digital Image Computing: Techniques and Applications (DICTA) · doi:10.1109/dicta56598.2022.10034596 · Cited by 1

Aerial Object Detection for Water-Based Search & Rescue

Mulcahy, E., van de Ven, P. W. J., & Nelson, J. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-26438-2_27 · Cited by 1

Performance Benchmarking of Visual Human Tracking Algorithms for UAVs

Kalampokas, Τ., Papakostas, G. A., Chatzis, V., & Krinidis, S. (2022) · Panhellenic Conference on Informatics · doi:10.1145/3575879.3575880 · Cited by 1

Watermarking for Data Provenance in Object Detection

Snarski, A., Dimon, W. L., Manville, K., & Krumdick, M. (2022) · IEEE Applied Imagery Pattern Recognition Workshop · doi:10.1109/aipr57179.2022.10092239 · Cited by 1

Utilizing Deep Learning to Detect Objects in Real Time

Annapoorani, V. K., Ananth, S. N. Y., & Pradeep, N. (2023) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2023.51703 · Cited by 1

Improving object counting in aerial images with density-based threshold shifting

Biggs, D. R., Theart, R. P., & Schreve, K. (2023) · International Journal of Remote Sensing · doi:10.1080/01431161.2023.2216845 · Cited by 1

Saw-YOLOv5: Scale-Aware YOLOv5 for Object Detection in Aerial Images

Doruk, A. E., Algül, M., Akyürek, F., Alpaydm, O. K., & Uslu, F. (2023) · International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA) · doi:10.1109/hora58378.2023.10155778 · Cited by 1

UAV Multi-object Tracking by Combining Two Deep Neural Architectures

Mazzeo, P. L., Manica, A., & Distante, C. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43148-7_22 · Cited by 1

CSA: Channel-Wise Similarity Attention for Vehicle State Classification

Lee, Y., Choi, J., An, J., & Jo, K.-H. (2023) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon51785.2023.10312208 · Cited by 1

Comprehensive Survey and Analysis of Techniques, Advancements, and Challenges in Video-Based Traffic Surveillance Systems

Madhukaro, E. A. J. R. (2023) · International Journal on Recent and Innovation Trends in Computing and Communication · doi:10.17762/ijritcc.v11i10.8620 · Cited by 1

Optimizing Results in Aerial Images through Post-Processing Techniques on YOLOv7

Vo, N. D., Nguyen, T., Nguyen, T. H. M., & Nguyen, K. T. T. M. (2023) · International Symposium on Information and Communication Technology · doi:10.1145/3628797.3628980 · Cited by 1

Delay-D: Research on the Lifespan and Performance of Storage Devices in Unmanned Aerial Vehicles

Kang, D. H. (2023) · Aerospace · doi:10.3390/aerospace11010047 · Cited by 1

Small Object Detection Algorithm in Drone Aerial Images Based on Improved YOLOv5

Feng, F. (2023) · Academic Journal of Computing & Information Science · doi:10.25236/ajcis.2023.061202 · Cited by 1

A Novel Multi-Data-Augmentation and Multi-Deep-Learning Framework for Counting Small Vehicles and Crowds

Tsai, C.-M., & Shih, F. Y. (2024) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001424520013 · Cited by 1

Lightweight Real-Time Object Detection via Enhanced Global Perception and Intra-Layer Interaction for Complex Traffic Scenarios

Liang, B., Su, J., Feng, K., Zhang, Y., & Hou, W. (2024) · IEEE Latin America Transactions · doi:10.1109/tla.2024.10472963 · Cited by 1

An Optimization Tool for Local Customized Object Detector in Edge Devices

Baek, J. W., Choi, Y. W., Kim, J.-H., & Lee, J.-G. (2024) · International Conference on Artificial Intelligence in Information and Communication (ICAIIC) · doi:10.1109/icaiic60209.2024.10463403 · Cited by 1

Shore Livecams: A Maritime Dataset for Deep Learning based Object Detection

Ahlers, D., Bhattacharya, P., Nowak, P., & Zölzer, U. (2023) · International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) · doi:10.1109/sitis61268.2023.00029 · Cited by 1

A Simulation Framework for Vision-Based Target Tracking Control of UAVs

Zhu, R., & Sun, M. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-1107-9_51 · Cited by 1

FCOS-GB-An Improved UAV Aerial Images Detection Method Based on FCOS Model

Zhou, S., Du, G., & Fu, R. (2023) · IEEE International Conference on Computer and Communications (ICCC) · doi:10.1109/iccc59590.2023.10507646 · Cited by 1

Utilizing Dataset Affinity Prediction in Object Detection to Assess Training Data

Becker, S., Bayer, J., Hug, R., Huebner, W., & Arens, M. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-59057-3_17 · Cited by 1

POPCat: Propagation of Particles for Complex Annotation Tasks

Yang, A. S., Khanna, D., & Zelek, J. (2024) · doi:10.21428/d82e957c.3da7f032 · Cited by 1

Development of Arduino-Based Surveillance Drone for Enhanced Campus Security

Sharma, S., Kumar, N., Kumar, A., Ansari, I., Anand, A., Dubey, C., Kaur, G., Sharma, N., & Batra, I. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-2839-8_24 · Cited by 1

UAV-YOLOv5: A Lightweight Object Detection Algorithm on Drone-captured Scenarios

Li, G., Liu, E., Wang, Y., Yang, Y., & Liu, H. (2024) · Scientific Journal of Intelligent Systems Research · doi:10.54691/2rsav890 · Cited by 1

Text-Guided Multi-Class Multi-Object Tracking for Fine-Grained Maritime Rescue

Li, S., Lin, Z., Wang, H., Yang, W., & Liu, H. (2024) · Remote Sensing · doi:10.3390/rs16193684 · Cited by 1

BMA for the BMA: Boosting Mobility Analysis for the Bangkok Metropolitan Administration via Automated Pedestrian Counting from CCTV

Kujareanpaisal, P., Mayhasap, R., Tea-makorn, P., Jindahra, P., Starita, S., Cooharojananone, N., & Atchariyachanvanich, K. (2024) · Joint International Conference on Soft Computing and Intelligent Systems and International Symposium on Advanced Intelligent Systems (SCIS&ISIS) · doi:10.1109/scisisis61014.2024.10760155 · Cited by 1

Dangerous Objects Detection Using Deep Learning and First Responder Drone

AlJundi, Z., Alsubaie, S., Faheem, M. H., Almarashi, R., Qazi, E.-U.-H., & Kim, J. (2025) · International Journal of Digital Crime and Forensics · doi:10.4018/ijdcf.367034 · Cited by 1

Implementation of Natural Language UAV Control Using OpenAI's ChatGPT in a Simulated University Environment

Muradova, Y., Amachree, J., Henry, L., & Bourgeois, A. G. (2024) · International Conference on Security of Information and Networks (SIN) · doi:10.1109/sin63213.2024.10871460 · Cited by 1

Reliability Analysis and Measurement of Drone Tasks Based on Environmental Interference Simulation

Wan, W., Zhu, M., Rong, S., Xu, P., Huang, D., & Li, X. (2024) · Global Reliability and Prognostics and Health Management Conference (PHM) · doi:10.1109/phm-beijing63284.2024.10874615 · Cited by 1

DTSFNet: A Lightweight Network Based on Dynamic Sampling and Scale Sequence Fusion for Aerial Image Object Detection

Liao, Y., Feng, Y., Chen, Y., Duan, G., Qiang, B., Lan, Z., Wang, K., Zou, L., Pu, H., Luo, J., et al. (2025) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126625502986 · Cited by 1

Unlocking Drone Perception in Low AGL Heights: Progressive Semi-Supervised Learning for Ground-to-Aerial Perception Knowledge Transfer

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