Results 31 to 40 of about 458,168 (313)

Magnetoquasistatic resonances of small dielectric objects [PDF]

Physical Review Research, 2020
A small dielectric object with positive permittivity may resonate when the free-space wavelength is large in comparison with the object dimensions if the permittivity is sufficiently high. We show that these resonances are described by the magnetoquasistatic approximation of the Maxwell's equations in which the normal component of the displacement ...
Carlo Forestiere, Giovanni Miano, Guglielmo Rubinacci, Mariano Pascale, Antonello Tamburrino, Roberto Tricarico, Salvatore Ventre   +6 more
openaire   +5 more sources

Perhirhinal cortex resolves feature ambiguity in configural object recognition and perceptual oddity tasks [PDF]

, 2007
The perirhinal cortex (PRh) has a well-established role in object recognition memory. More recent studies suggest that PRh is also important for two-choice visual discrimination tasks.
Rosemary A. Cowell, Bussey, Timothy J., Cowell, Rosemary A., Timothy J. Bussey, Bartko, Susan J., Saksida, Lisa M., Boyer D. Winters, Winters, Boyer D., Lisa M. Saksida, Susan J. Bartko   +9 more
core   +1 more source

Augmentation for small object detection

9th International Conference on Advances in Computing and Information Technology (ACITY 2019), 2019
In recent years, object detection has experienced impressive progress. Despite these improvements, there is still a significant gap in the performance between the detection of small and large objects. We analyze the current state-of-the-art model, Mask-RCNN, on a challenging dataset, MS COCO.
Mate Kisantal, Zbigniew Wojna, Jakub Murawski, Jacek Naruniec, Kyunghyun Cho   +4 more
openaire   +2 more sources

Object lessons : a learning object approach to e-learning for social work education [PDF]

, 2007
Learning objects are bite-sized digital learning resources designed to tackle the e-learning adoption problem by virtue of their scale, adaptability, and interoperability.
Neil Ballantyne, Ballantyne, Neil, Ballantyne, N.J.   +2 more
core   +1 more source

Small Object Detection and Tracking: A Comprehensive Review

Sensors, 2023
Object detection and tracking are vital in computer vision and visual surveillance, allowing for the detection, recognition, and subsequent tracking of objects within images or video sequences.
Behzad Mirzaei, Hossein Nezamabadi-pour, Amir Raoof, Reza Derakhshani   +3 more
doaj   +1 more source

LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach

Frontiers in Marine Science
Underwater object detection plays a significant role in fisheries resource assessment and ecological environment protection. However, traditional underwater object detection methods struggle to achieve accurate detection in complex underwater ...
Mingxin Liu, Mingxin Liu, Yujie Wu, Ruixin Li, Cong Lin, Cong Lin   +5 more
doaj   +1 more source

DroneNet: Rescue Drone-View Object Detection

Drones, 2023
Recently, the research on drone-view object detection (DOD) has predominantly centered on efficiently identifying objects through cropping high-resolution images. However, it has overlooked the distinctive challenges posed by scale imbalance and a higher
Xiandong Wang, Fengqin Yao, Ankun Li, Zhiwei Xu, Laihui Ding, Xiaogang Yang, Guoqiang Zhong, Shengke Wang   +7 more
doaj   +1 more source

LGC-YOLO: Local-Global Feature Extraction and Coordination Network With Contextual Interaction for Remote Sensing Object Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Object detection in high-resolution remote sensing image (HRRSI) faces great challenges of large-scale variations in object size, densely distributed small objects, and complex background interferences.
Qinggang Wu, Yang Li, Junru Yin, Xiaotian You   +3 more
doaj   +1 more source

UAV Image Small Object Detection Based on RSAD Algorithm

Applied Sciences, 2023
There are many small objects in UAV images, and the object scale varies greatly. When the SSD algorithm detects them, the backbone network’s feature extraction capabilities are poor; it does not fully utilize the semantic information in the deeper ...
Jian Song, Zhihong Yu, Guimei Qi, Qiang Su, Jingjing Xie, Wenhang Liu   +5 more
doaj   +1 more source

SSAM_YOLOv5: YOLOv5 Enhancement for Real-Time Detection of Small Road Signs

Digital
Many traffic-sign detection systems are available to assist drivers with particular conditions such as small and distant signs, multiple signs on the road, objects similar to signs, and other challenging conditions.
Fatima Qanouni, Hakim El Massari, Noreddine Gherabi, Maria El-Badaoui   +3 more
doaj   +1 more source