Results 31 to 40 of about 487,056 (216)
Faster R-CNN model learning on synthetic images
Journal of Computer Sciences Institute, 2020 Machine learning requires a human description of the data. The manual dataset description is very time consuming. In this article was examined how the model learns from artificially created images, with the least human participation in describing the ...
Błażej Łach, Edyta Łukasik
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Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection [PDF]
Pattern Recognition, 2018 Multispectral images of color-thermal pairs have shown more effective than a single color channel for pedestrian detection, especially under challenging illumination conditions.
Chengyang Li +3 more
semanticscholar +1 more source
Improving Small Object Proposals for Company Logo Detection [PDF]
, 2017 Many modern approaches for object detection are two-staged pipelines. The first stage identifies regions of interest which are then classified in the second stage.
Bell S. +6 more
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Advances in Engineering Software, 2023 This paper proposes a novel method based on the two-dimensional (2D) curvature mode shape method, Convolutional Neural Networks (CNN), and Faster Region-based Convolutional Neural Networks (faster R-CNN) for detecting damage in slab structures.
D. Nguyen, M. Wahab
semanticscholar +1 more source
An Improved Faster R-CNN for Small Object Detection
IEEE Access, 2019 With the increase of training data and the improvement of machine performance, the object detection method based on convolutional neural network (CNN) has become the mainstream algorithm in field of the current object detection.
Changqing Cao +7 more
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IEEE Access, 2022 Object detection has shown noticeably rapid improvement, despite most existing methods still scrabbling in occluded object detection. In response to this problem, this paper proposes a method for occluded object detection called Ganster R-CNN, which is ...
Kelei Sun, Qiufen Wen, Huaping Zhou
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An Improved Faster R-CNN for Same Object Retrieval
IEEE Access, 2017 An improved faster region-based convolutional neural network (R-CNN) [same object retrieval (SOR) faster R-CNN] is proposed to retrieve the same object in different scenes with few training samples.
Hailiang Li +2 more
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Klasifikasi Pola Kain Tenun Melayu Menggunakan Faster R-CNN
IT Journal Research and Development, 2021 Motif tenun melayu sangat beragam. Keberagaman ini membuat sulit membedakan motif-motif kain tenun tersebut. Klasifikasi data diperlukan untuk mengidentifikasi karakteristik objek yang terkandung dalam basis data agar kemudian dikategorikan ke dalam ...
Yoze Rizki +3 more
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The comparison of Faster R-CNN and Atrous Faster R-CNN in different distance and light condition
Journal of Physics: Conference Series, 2020 Abstract This paper presents the comparison of Faster R-CNN and Atrous Faster R-CNN, which detection model, in the different distance and light condition. Also, the dataset for model training is COCO, and the classification model is residual network. The parameter for decision the performance of the model is Mean Average Precision (mAP).
K Srijakkot +3 more
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People Counting in Crowd: Faster R-CNN
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract-Because of its vast range of operations, people counting in crowds is a significant challenge in the field of computer vision. To achieve further dependable results of crowd counting, head discovery grounded ways are used rather than viscosity chart grounded crowd counting ways. This is because, in case of viscosity charts, it isn't always the
Saravana Kumar +5 more
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