Results 51 to 60 of about 1,485,416 (350)
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
doaj +1 more source
The detection performance of small objects in remote sensing images is not satisfactory compared to large objects, especially in low-resolution and noisy images.
Chao, Dennis +4 more
core +1 more source
Small Object Detection using Deep Learning
Now a days, UAVs such as drones are greatly used for various purposes like that of capturing and target detection from ariel imagery etc. Easy access of these small ariel vehicles to public can cause serious security threats. For instance, critical places may be monitored by spies blended in public using drones.
Ajaz, Aleena +3 more
openaire +2 more sources
Detecting Small Signs from Large Images
In the past decade, Convolutional Neural Networks (CNNs) have been demonstrated successful for object detections. However, the size of network input is limited by the amount of memory available on GPUs. Moreover, performance degrades when detecting small
Chen, Min +4 more
core +1 more source
Skip DETR: end-to-end Skip connection model for small object detection in forestry pest dataset
Object detection has a wide range of applications in forestry pest control. However, forest pest detection faces the challenges of a lack of datasets and low accuracy of small target detection.
Bing Liu +5 more
doaj +1 more source
Scale-aware Pixel-wise Object Proposal Networks
Object proposal is essential for current state-of-the-art object detection pipelines. However, the existing proposal methods generally fail in producing results with satisfying localization accuracy. The case is even worse for small objects which however
Feng, Jiashi +5 more
core +1 more source
A survey of small object detection based on deep learning in aerial images
Small object detection poses a formidable challenge in the field of computer vision, particularly when it comes to analyzing aerial remote sensing images.
Wei Hua, Qili Chen
semanticscholar +1 more source
Imaging faint brown dwarf companions close to bright stars with a small, well-corrected telescope aperture [PDF]
We have used our 1.6 m diameter off-axis well-corrected sub-aperture (WCS) on the Palomar Hale telescope in concert with a small inner-working-angle (IWA) phase-mask coronagraph to image the immediate environs of a small number of nearby stars.
B. Mennesson +18 more
core +2 more sources
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
Radiation pressure detection and density estimate for 2011 MD
We present our astrometric observations of the small near-Earth object 2011~MD ($H \sim 28.0$), obtained after its very close fly-by to Earth in June 2011.
Elliott, Garrett T. +2 more
core +1 more source

