Results 1 to 10 of about 2,715,607 (290)

Small Object Localization with 90% Annotation Reduction by Positive-Unlabeled Learning [PDF]

Micromachines
Small object localization is one of the most challenging tasks owing to the poor visual appearance and noisy representation caused by the intrinsic structure of small targets. Recent advances in localizing small objects are mainly dependent on regression-
Xiao Zhou, Shihong Wang, Weiguo Hu, Zhaohao Xie, Zheng Pang, Zhuo Jiang, Zhen Cheng   +6 more
doaj   +2 more sources

SeaLSOD-YOLO: A Lightweight Framework for Maritime Small Object Detection Using YOLOv11 [PDF]

Sensors
Maritime small object detection is critical for UAV-based sea surveillance but remains challenging due to the small size of targets and interference from sea reflections and waves. This paper proposes SeaLSOD-YOLO, a lightweight detection algorithm based
Jinjia Ruan, Jin He, Yao Tong
doaj   +2 more sources

FocusDet: an efficient object detector for small object

Scientific Reports
The object scale of a small object scene changes greatly, and the object is easily disturbed by a complex background. Generic object detectors do not perform well on small object detection tasks. In this paper, we focus on small object detection based on
Yanli Shi, Yi Jia, Xianhe Zhang
doaj   +3 more sources

LEAD-YOLO: A Lightweight and Accurate Network for Small Object Detection in Autonomous Driving [PDF]

Sensors
The accurate detection of small objects remains a critical challenge in autonomous driving systems, where improving detection performance typically comes at the cost of increased model complexity, conflicting with the lightweight requirements of edge ...
Yunchuan Yang, Shubin Yang, Qiqing Chan
doaj   +2 more sources

Scale Adaptive Small Objects Detection Method in Complex Agricultural Environment: Taking Bees as Research Object

智慧农业, 2022
Objects in farmlands often have characteristic of small volume and high density with variable light and complex background, and the available object detection models could not get satisfactory recognition results.
GUO Xiuming, ZHU Yeping, LI Shijuan, ZHANG Jie, LYU Chunyang, LIU Shengping   +5 more
doaj   +1 more source

Corner-Point and Foreground-Area IoU Loss: Better Localization of Small Objects in Bounding Box Regression

Sensors, 2023
Bounding box regression is a crucial step in object detection, directly affecting the localization performance of the detected objects. Especially in small object detection, an excellent bounding box regression loss can significantly alleviate the ...
Delong Cai, Zhaoyun Zhang, Zhi Zhang
doaj   +1 more source

Small Object Detection via Pixel Level Balancing With Applications to Blood Cell Detection

Frontiers in Physiology, 2022
Object detection technology has been widely used in medical field, such as detecting the images of blood cell to count the changes and distribution for assisting the diagnosis of diseases.
Bin Hu, Yang Liu, Yang Liu, Pengzhi Chu, Minglei Tong, Qingjie Kong   +5 more
doaj   +1 more source

Improving small objects detection using transformer [PDF]

Journal of Visual Communication and Image Representation, 2021
General artificial intelligence is a trade-off between the inductive bias of an algorithm and its out-of-distribution generalization performance. The conspicuous impact of inductive bias is an unceasing trend of improved predictions in various problems in computer vision like object detection.
Moongu Jeon, Muhammad Aasim Rafique, Farrukh Olimov, Shikha Dubey   +3 more
openaire   +3 more sources

E-YOLOv4-tiny: a traffic sign detection algorithm for urban road scenarios

Frontiers in Neurorobotics, 2023
IntroductionIn urban road scenes, due to the small size of traffic signs and the large amount of surrounding interference information, current methods are difficult to achieve good detection results in the field of unmanned driving.MethodsTo address the ...
Yanqiu Xiao, Yanqiu Xiao, Shiao Yin, Shiao Yin, Guangzhen Cui, Guangzhen Cui, Weili Zhang, Weili Zhang, Lei Yao, Lei Yao, Zhanpeng Fang, Zhanpeng Fang   +11 more
doaj   +1 more source

Let the loss impartial: a hierarchical unbiased loss for small object segmentation in high-resolution remote sensing images

European Journal of Remote Sensing, 2023
The progress in optical remote sensing technology presents both a possibility and challenge for small object segmentation task. However, the gap between human vision cognition and machine behavior still poses an inherent constrains to the interpretation ...
Qianpeng Chong, Mengying Ni, Jianjun Huang, Guangyi Wei, Ziyi Li, Jindong Xu   +5 more
doaj   +1 more source