Results 1 to 10 of about 151,483 (263)
Efficient Small Object Detection You Only Look Once: A Small Object Detection Algorithm for Aerial Images [PDF]
Aerial images have distinct characteristics, such as varying target scales, complex backgrounds, severe occlusion, small targets, and dense distribution.
Jie Luo +5 more
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Small Object Detection Based on Two-Stage Calculation Transformer [PDF]
Despite the current small object detection task has achieved significant improvements, it still suffers from some problems. For example, it is a challenge to extract small object features because of little information in the scene of small objects, which
XU Shoukun, GU Jianan, ZHUANG Lihua, LI Ning, SHI Lin, LIU Yi
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DroneNet: Rescue Drone-View Object Detection
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 +7 more
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MultiResolution Attention Extractor for Small Object Detection
Small objects are difficult to detect because of their low resolution and small size. The existing small object detection methods mainly focus on data preprocessing or narrowing the differences between large and small objects. Inspired by human vision "attention" mechanism, we exploit two feature extraction methods to mine the most useful information ...
Fan Zhang 0041 +4 more
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LUD-YOLO: An Efficient and Balanced Object Detection Model for Unmanned Aerial Vehicles
Unmanned aerial vehicles (UAVs) have been widely used in defense, precision agriculture, ecological monitoring, and intelligent transportation because of their compact size, high mobility, and flexible deployment. Object detection based on UAV imagery is
Benyi Zhang
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Small moving object detection in video sequences [PDF]
In this paper, we propose a method for detection of small moving objects in video. We first eliminate the camera motion using motion compensation. We then use an adaptive predictor to estimate the current pixel using neighboring pixels in the motion compensated image and, in this way, obtain a residual error image.
Rabi Zaibi +2 more
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Toward Versatile Small Object Detection with Temporal-YOLOv8
Deep learning has become the preferred method for automated object detection, but the accurate detection of small objects remains a challenge due to the lack of distinctive appearance features.
Martin C. van Leeuwen +4 more
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Small Object Detection Based on Stereo Vision
Small size objects which dimensions are around 0.15m are one of the major security risks to driving vehicles in the highway. Lidar and radar are hard to detect this kind of objects due to the sparsity of their detecting signal.
Long Qian +4 more
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Small object detection has always been a difficult direction in the field of object detection, especially the detection of small objects in UAV aerial images. The images captured by UAVs have the characteristics of small objects and dense objects.
Xiaobin Wang, Dekang Zhu, Ye Yan
doaj +1 more source
Improved Small Object Detection Algorithm CRL-YOLOv5
Detecting small objects in images poses significant challenges due to their limited pixel representation and the difficulty in extracting sufficient features, often leading to missed or false detections.
Zhiyuan Wang +6 more
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