Results 41 to 50 of about 296,550 (316)
Salient object detection: A survey [PDF]
Computational Visual Media, 2019 Detecting and segmenting salient objects from natural scenes, often referred to as salient object detection, has attracted great interest in computer vision. While many models have been proposed and several applications have emerged, a deep understanding of achievements and issues remains lacking.
Ali Borji +4 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
doaj +1 more source
Seamless Detection: Unifying Salient Object Detection and Camouflaged Object Detection
Expert Systems with ApplicationsAchieving joint learning of Salient Object Detection (SOD) and Camouflaged Object Detection (COD) is extremely challenging due to their distinct object characteristics, i.e., saliency and camouflage. The only preliminary research treats them as two contradictory tasks, training models on large-scale labeled data alternately for each task and assessing ...
Yi Liu 0038 +6 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
doaj +1 more source
Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review
Remote Sensing, 2023 With the accelerated development of artificial intelligence, remote-sensing image technologies have gained widespread attention in smart cities. In recent years, remote sensing object detection research has focused on detecting and counting small dense ...
Xuan Wang +4 more
doaj +1 more source
Learning to Detect a Salient Object [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011 In this paper, we study the salient object detection problem for images. We formulate this problem as a binary labeling task where we separate the salient object from the background. We propose a set of novel features, including multiscale contrast, center-surround histogram, and color spatial distribution, to describe a salient object locally ...
Tie Liu +6 more
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
A comprehensive review on intelligent surveillance systems
Communications in Science and Technology, 2016 Intelligent surveillance system (ISS) has received growing attention due to the increasing demand on security and safety. ISS is able to automatically analyze image, video, audio or other type of surveillance data without or with limited human ...
Sutrisno Warsono Ibrahim
doaj +1 more source
Designing a labeling application for image object detection [PDF]
, 2022 We seek to build a large collection of images with ground truth labels to be used for training object detection and recognition algorithms. Such data is useful for supervised learning and quantitative evaluation.
Tebaldi, Marco
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