Results 221 to 230 of about 832,071 (273)
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 +8 more
wiley +1 more source
Multi-Feature Fusion Method Based on Adaptive Dilation Convolution for Small-Object Detection. [PDF]
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]
Zhang G, Peng Y, Li J.
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HSF-YOLO: A Multi-Scale and Gradient-Aware Network for Small Object Detection in Remote Sensing Images. [PDF]
Wang F, Wang X.
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FDA-DETR: A frequency-aware DETR with dynamic query and adaptive multi-task optimization for oriented small object detection. [PDF]
Ju C +6 more
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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]
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), 2017While 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
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Enhanced Small Object Detection Neural Network
Proceedings of the 2020 International Conference on Aviation Safety and Information Technology, 2020Faster-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
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Small Object Detection and Tracking from Aerial Imagery
2021 6th International Conference on Computer Science and Engineering (UBMK), 2021Object 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
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