Results 241 to 250 of about 7,708,764 (303)
An efficient reparameterized small object detection transformer for thermal infrared images. [PDF]
Sci RepGuo C, Luo P, Ma Z, Zhao T, Shen X.
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A lightweight remote sensing small-object detection approach with scale-based dynamic loss and efficient multi-scale attention. [PDF]
Sci RepXu A, Wu X, Yang W.
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CSF-Net: Cross-Stage Fusion Network with Dual Backbone for Small Object Detection. [PDF]
Sensors (Basel)Wang B, Li H, Wei L, Zhang Y.
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EABI-DETR: An Efficient Aerial Small Object Detection Network. [PDF]
Biomimetics (Basel)Li F, Zhang Y, Fan Y.
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SFD-YOLO for small-object fragment impact detection in warhead target-plate testing. [PDF]
Sci RepLiu H, Ding Y, You W, Li Y.
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Cross-stage edge information fusion network for small object detection in aerial images. [PDF]
Sci RepXiao J, Li C, Chen H, Li H, Xiao L.
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Improving Small Object Detection
2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 2017While the problem of detecting generic objects in natural scene images has been the subject of research for a long time, the problem of detection of small objects has been largely ignored. While generic object detectors perform well on medium and large sized objects, they perform poorly for the overall task of recognition of small objects.
Harish Krishna, C. V. Jawahar
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Super-Resolution on small moving objects
2008 15th IEEE International Conference on Image Processing, 2008Moving objects are often the most interesting parts in image sequences. When images from a camera are undersampled and the moving object is depicted small on the image plane, processing afterwards may help to improve the visibility as well as automatic recognition of the object.
Adam W. M. van Eekeren +2 more
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Scalable mining of small visual objects
Proceedings of the 20th ACM international conference on Multimedia, 2012This paper presents a scalable method for automatically discovering frequent visual objects in large multimedia collections even if their size is very small. It first formally revisits the problem of mining or discovering such objects, and then generalizes two kinds of existing methods for probing candidate object seeds: weighted adaptive sampling and ...
Letessier, Pierre +2 more
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Tracker Evaluation for Small Object Tracking
2021The small object problem becomes an increasingly important task because of its wide application. There are three significant challenges for small objects: 1) small objects have extremely vague and variable appearances, 2) due to the low resolution of the input images, their characteristic expression information is inadequate and, therefore, is prone to
Chang Liu +3 more
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