Results 61 to 70 of about 7,417,847 (369)
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video [PDF]
, 2017 Object detection is considered one of the most challenging problems in this field of computer vision, as it involves the combination of object classification and object localization within a scene.
Chywl, Brendan +3 more
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IET Computer Vision, 2020 Owing to large‐scale diversity and location uncertainty in object detection, how to enrich semantic information has become an important issue that attracts a lot of concern.
Jinding Wang, Haifeng Hu, Xinlong Lu
doaj +1 more source
A Survey of Object Detection for UAVs Based on Deep Learning
Remote Sensing, 2023 With the rapid development of object detection technology for unmanned aerial vehicles (UAVs), it is convenient to collect data from UAV aerial photographs.
Guangyi Tang +4 more
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Generic Object Detection With Dense Neural Patterns and Regionlets [PDF]
, 2014 This paper addresses the challenge of establishing a bridge between deep convolutional neural networks and conventional object detection frameworks for accurate and efficient generic object detection.
Lin, Yuanqing +3 more
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An Object Detection Using Image Processing In Digital Forensics Science
JISR on Computing, 2018 Object detection is one of the most important sectors in digital forensics science. The object detection technique is valuable for a number of purposes for instance: medical diagnosis scanners, traffic monitoring system, airport security examination ...
Kamran Ali Changezi +1 more
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Enhanced Sparse Detection for End-to-End Object Detection
IEEE Access, 2022 In this paper, we propose an enhanced end-to-end object detector based on Sparse R-CNN (EnSparse R-CNN), which aims at backbone, neck and head of object detector.
Yongwei Liao, Gang Chen, Runnan Xu
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Relation Networks for Object Detection
, 2018 Although it is well believed for years that modeling relations between objects would help object recognition, there has not been evidence that the idea is working in the deep learning era.
Dai, Jifeng +4 more
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Situational object boundary detection [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 Intuitively, the appearance of true object boundaries varies from image to image. Hence the usual monolithic approach of training a single boundary predictor and applying it to all images regardless of their content is bound to be suboptimal. In this paper we therefore propose situational object boundary detection: We first define a variety of ...
Uijlings, Jasper, Ferrari, Vittorio
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IEEE Transactions on Pattern Analysis and Machine IntelligenceObject detection, a fundamental and challenging problem in computer vision, has experienced rapid development due to the effectiveness of deep learning. The current objects to be detected are mostly rigid solid substances with apparent and distinct visual characteristics.
Kailai Zhou +4 more
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Deep Learning for Generic Object Detection: A Survey [PDF]
International Journal of Computer Vision, 2018 Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined categories in natural images.
Li Liu +6 more
semanticscholar +1 more source