Results 1 to 10 of about 11,183,951 (361)
Efficient YOLOv7-Drone: An Enhanced Object Detection Approach for Drone Aerial Imagery
Drones, 2023 In recent years, the rise of low-cost mini rotary-wing drone technology across diverse sectors has emphasized the crucial role of object detection within drone aerial imagery.
Xiaofeng Fu +4 more
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Tomato Diseases and Pests Detection Based on Improved Yolo V3 Convolutional Neural Network
Frontiers in Plant Science, 2020 Tomato is affected by various diseases and pests during its growth process. If the control is not timely, it will lead to yield reduction or even crop failure.
Jun Liu, Xuewei Wang
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Aligned Matching: Improving Small Object Detection in SSD
Sensors, 2023 Although detecting small objects is critical in various applications, neural network models designed and trained for generic object detection struggle to do so with precision.
Seok-Hoon Kang, Joon-Sang Park
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Object-oriented echo perception and cortical representation in echolocating bats [PDF]
, 2007 Echolocating bats can identify three-dimensional objects exclusively through the analysis of acoustic echoes of their ultrasonic emissions. However, objects of the same structure can differ in size, and the auditory system must achieve a size-invariant ...
Schuchmann Maike +14 more
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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
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TMDiMP: Temporal Memory Guided Discriminative Tracker for UAV Object Tracking
Remote Sensing, 2022 Unmanned aerial vehicles (UAVs) have attracted increasing attention in recent years because of their broad range of applications in city security, military reconnaissance, disaster rescue, and so on.
Zheng Yang +3 more
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2015 12th Conference on Computer and Robot Vision, 2015 We consider the problem of scanning and modelling small objects using easily available RGBD sensors such as the Kinect. These sensors allow for the acquisition of view-based registered depth and color data. We register the point clouds by recovering the rigid transformation between successive pairs in a sequence of views, and then demonstrate the ...
Sricharana Rajagopal, Kaleem Siddiqi
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Magnetoquasistatic resonances of small dielectric objects [PDF]
Physical Review Research, 2020 A small dielectric object with positive permittivity may resonate when the free-space wavelength is large in comparison with the object dimensions if the permittivity is sufficiently high. We show that these resonances are described by the magnetoquasistatic approximation of the Maxwell's equations in which the normal component of the displacement ...
Carlo Forestiere +6 more
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Perhirhinal cortex resolves feature ambiguity in configural object recognition and perceptual oddity tasks [PDF]
, 2007 The perirhinal cortex (PRh) has a well-established role in object recognition memory. More recent studies suggest that PRh is also important for two-choice visual discrimination tasks.
Rosemary A. Cowell +9 more
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Augmentation for small object detection
9th International Conference on Advances in Computing and Information Technology (ACITY 2019), 2019 In recent years, object detection has experienced impressive progress. Despite these improvements, there is still a significant gap in the performance between the detection of small and large objects. We analyze the current state-of-the-art model, Mask-RCNN, on a challenging dataset, MS COCO.
Mate Kisantal +4 more
openaire +2 more sources