Results 351 to 360 of about 7,363,707 (395)
Microwave technique for detection, location and sizing of buried objects
Latifa Achrait-Furlan+2 more
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Object detection algorithm based on improved YOLOv8 for drill pipe on coal mines. [PDF]
Li X, Li M, Zhao M.
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Improved Aerial Surface Floating Object Detection and Classification Recognition Algorithm Based on YOLOv8n. [PDF]
Song L, Deng H, Han J, Gao X.
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Object detection in motion management scenarios based on deep learning. [PDF]
Pei B, Sun Y, Fu Y, Ren T.
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End-to-End Object Detection with Transformers
European Conference on Computer Vision, 2020We present a new method that views object detection as a direct set prediction problem. Our approach streamlines the detection pipeline, effectively removing the need for many hand-designed components like a non-maximum suppression procedure or anchor ...
Nicolas Carion+5 more
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Rich feature hierarchies for accurate object detection and semantic segmentation
Radioengineering, 2021Formulation of the problem. Over the past few years, there has been little progress in object detection techniques. The most efficient are complex computational ensemble methods, which usually combine several low-level image properties with high-level ...
A.Y. Virasova+4 more
semanticscholar +1 more source
2009 Third International Conference on Advanced Engineering Computing and Applications in Sciences, 2009
Given a rectangle with emitters and receivers on its perimeter, one can detect objects in it by determining which of the line segments between emitters and receivers are blocked by objects. The problem of object detection can be formulated as the problem of finding all non-empty n-wedge intersections, where a wedge is defined by a consecutive set of ...
Nataa Jovanovic, Jan Korst, Verus Pronk
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Given a rectangle with emitters and receivers on its perimeter, one can detect objects in it by determining which of the line segments between emitters and receivers are blocked by objects. The problem of object detection can be formulated as the problem of finding all non-empty n-wedge intersections, where a wedge is defined by a consecutive set of ...
Nataa Jovanovic, Jan Korst, Verus Pronk
openaire +2 more sources
Performance evaluation of object detection techniques for object detection
2016 International Conference on Inventive Computation Technologies (ICICT), 2016Object detection plays vital role in image processing for finding the objects of interest Increase of image size and complexity has thrust for developing novel and robust object detection techniques. There are number of methods existing for detecting the objects in a particular scene.
M. N. Vijayalakshmi, M. Senthilvadivu
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International Journal of Computer Vision, 1990
The detection of moving objects is important in many tasks. This paper examines moving object detection based primarily on optical flow. We conclude that in realistic situations, detection using visual information alone is quite difficult, particularly when the camera may also be moving.
Thompson, W., Pong, Ting Chuen
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The detection of moving objects is important in many tasks. This paper examines moving object detection based primarily on optical flow. We conclude that in realistic situations, detection using visual information alone is quite difficult, particularly when the camera may also be moving.
Thompson, W., Pong, Ting Chuen
openaire +1 more source
Proceedings of the 16th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications, 2001
We present an on-the-fly mechanism that detects access conflicts in executions of multi-threaded Java programs. Access conflicts are a conservative approximation of data races. The checker tracks access information at the level of objects ( object races ) rather than at the level of individual variables.
Christoph von Praun, Thomas R. Gross
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We present an on-the-fly mechanism that detects access conflicts in executions of multi-threaded Java programs. Access conflicts are a conservative approximation of data races. The checker tracks access information at the level of objects ( object races ) rather than at the level of individual variables.
Christoph von Praun, Thomas R. Gross
openaire +2 more sources