Results 221 to 230 of about 832,071 (273)

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

Aging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu, Latif Adams, Eunice Ampem‐Danso, Justice Kumi, Abigail Aning, Fatima Hamidu, Mustapha Abdul Mumin Mohammed, Ayuba Nii Darku Ankrah, Seth Kwabena Amponsah   +8 more
wiley   +1 more source

Multi-Feature Fusion Method Based on Adaptive Dilation Convolution for Small-Object Detection. [PDF]

Sensors (Basel)
Cao L, Wu J, Zhao Z, Fu C, Wang D.
europepmc   +1 more source

YOLO-MARS: An Enhanced YOLOv8n for Small Object Detection in UAV Aerial Imagery. [PDF]

Sensors (Basel)
Zhang G, Peng Y, Li J.
europepmc   +1 more source

HSF-YOLO: A Multi-Scale and Gradient-Aware Network for Small Object Detection in Remote Sensing Images. [PDF]

Sensors (Basel)
Wang F, Wang X.
europepmc   +1 more source

FDA-DETR: A frequency-aware DETR with dynamic query and adaptive multi-task optimization for oriented small object detection. [PDF]

PLoS One
Ju C, Zhao Y, Miao S, Li D, Chai R, Xie Y, Yan W.   +6 more
europepmc   +1 more source

GMG-LDefmamba-YOLO: An Improved YOLOv11 Algorithm Based on Gear-Shaped Convolution and a Linear-Deformable Mamba Model for Small Object Detection in UAV Images. [PDF]

Sensors (Basel)
Yang Y, Yan L, Wang J, Liu J, Tang X.
europepmc   +1 more source

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Improving Small Object Detection

2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 2017
While the problem of detecting generic objects in natural scene images has been the subject of research for a long time, the problem of detection of small objects has been largely ignored. While generic object detectors perform well on medium and large sized objects, they perform poorly for the overall task of recognition of small objects.
Harish Krishna, C.V. Jawahar
openaire   +1 more source

Enhanced Small Object Detection Neural Network

Proceedings of the 2020 International Conference on Aviation Safety and Information Technology, 2020
Faster-RCNN is an vital deep learning object detection algorithm. Nevertheless, the small object detection effect of Faster-RCNN, which does not use multi-layer feature map, is not good enough. In this paper, a new network architecture called enhanced small object detection neural network (ESOD) is proposed.
Lin Liu, Jiahao Fan, Cong Xu
openaire   +1 more source

Small Object Detection and Tracking from Aerial Imagery

2021 6th International Conference on Computer Science and Engineering (UBMK), 2021
Object detection and tracking from airborne imagery draws attention to the parallel development of UAV systems and computer vision technologies. Aerial imagery has its own unique challenges that differ from the training set of modern-day object detectors, since it is made of images of larger areas compared to the regular datasets and the objects are ...
Aktaş, Mustafa, Ateş, Hasan Fehmi
openaire   +1 more source