Results 41 to 50 of about 159,708 (297)
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 +5 more
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Improvement of small objects detection in thermal images
Integrated Computer-Aided Engineering, 2023 Thermal images are widely used for various applications such as safety, surveillance, and Advanced Driver Assistance Systems (ADAS). However, these images typically have low contrast, blurred aspect, and low resolution, making it difficult to detect distant and small-sized objects.
Maxence Chaverot +4 more
openaire +1 more source
Remote Sensing, 2023 In the field of object detection, deep learning models have achieved great success in recent years. Despite these advances, detecting small objects remains difficult. Most objects in aerial images have features that are a challenge for traditional object
Hao Zhang +4 more
doaj +1 more source
Small Object Detection using Context and Attention [PDF]
2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2021 There are many limitations applying object detection algorithm on various environments. Especially detecting small objects is still challenging because they have low resolution and limited information. We propose an object detection method using context for improving accuracy of detecting small objects. The proposed method uses additional features from
Jeong-Seon Lim +3 more
openaire +2 more sources
Discriminating small wooded elements in rural landscape from aerial photography: a hybrid pixel/object-based analysis approach [PDF]
, 2009 While small, fragmented wooded elements do not represent a large surface area in agricultural landscape, their role in the sustainability of ecological processes is recognized widely.
Ouin, Annie +5 more
core +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 +7 more
doaj +1 more source
MultiResolution Attention Extractor for Small Object Detection
CoRR, 2020 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
openaire +2 more sources
Small object detection method [PDF]
, 2022 In computer vision, significant advances have been made on object detection with the rapid development of deep convolutional neural networks (CNN)/ When it comes to small objects?
Gourinovitch, A., Tang, Yi
core
Small moving object detection in video sequences [PDF]
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002 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
SensorsDeep 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
doaj +1 more source