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Adversarial Vulnerability and Defense in Human Detection: An Experimental Study Using FGSM, PGD, and Adversarial Training on the HERIDAL Dataset [PDF]
International Journal of Innovative Solutions in EngineeringAdversarial attacks pose a serious threat to the reliability of modern artificial intelligence systems, especially in computer vision. Although such attacks rely on very small, often imperceptible perturbations of the input data, they can cause a ...
Marijana Bandić +2 more
doaj +3 more sources
Detecting Humans in Search and Rescue Operations Based on Ensemble Learning
IEEE Access, 2022 Detection of humans accurately in aerial images is critical for various applications such as surveillance, detecting and tracking athletes on sports fields, and search and rescue operations (SAR).
Nayee Muddin Khan Dousai, Sven Lonearic
doaj +1 more source
DronesUnmanned aerial vehicles are increasingly used in civil Search and Rescue operations due to their rapid deployment and wide-area coverage capabilities. However, detecting missing persons from aerial imagery remains challenging due to small object sizes ...
Francesco Ciccone, Alessandro Ceruti
doaj +1 more source
Benchmarking YOLOv5 models for improved human detection in search and rescue missions
Journal of Electronic Science and TechnologyDrone or unmanned aerial vehicle (UAV) technology has undergone significant changes. The technology allows UAV to carry out a wide range of tasks with an increasing level of sophistication, since drones can cover a large area with cameras. Meanwhile, the
Namat Bachir, Qurban Ali Memon
doaj +1 more source
Transformer-Based Person Detection in Paired RGB-T Aerial Images With VTSaR Dataset
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAerial-based person detection poses a significant challenge, yet it is crucial for real-world applications like air-ground linkage search and all-weather intelligent corescuing. However, existing person detection models designed for aerial images heavily
Xiangqing Zhang +4 more
doaj +1 more source
, 2022 The complete raw dataset collected in the study including the participants’ dataset.
Francisco Cruz-Quintana (5695694) +3 more
core +14 more sources
National Transfusion Dataset (NTD)
, 2023 The National Transfusion Dataset (NTD) is a collection of transfusion episode data incorporating transfusion, laboratory and hospital data from hospitals and health services, as well as prehospital transfusion data from ambulance and retrieval services ...
National Transfusion Dataset (12863675)
core +1 more source
After extraction, the folder is named `Dataset`. It contains the following files:- `rosetta.csv` (generated by `rosetta/data_analysis_04.ipynb`)- `neg.csv` (generated by `./XAI/data_analysis_05.R`)- `pos.csv` (generated by `./XAI/data_analysis_05.R ...
Dataset
core +5 more sources