Results 31 to 40 of about 14,919,864 (281)
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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Application of Convolutional Neural Network (CNN) to Recognize Ship Structures
Sensors, 2022 The purpose of this paper is to study the recognition of ships and their structures to improve the safety of drone operations engaged in shore-to-ship drone delivery service.
Jae-Jun Lim +6 more
doaj +1 more source
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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Table detection ANN model based on Faster R-CNN
, 2020 Table detection ANN model based on Faster R-CNN trained on three datasets ICDAR 2017, Marmot and ...
Andrey Mikhailov (8613789)
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Information-Guided Flame Detection Based on Faster R-CNN
IEEE Access, 2020 Due to the diversity of the shape and texture of flame, and interference objects that similar to flame in color, detecting the position of flame from images is a difficult task.
Chenyu Chaoxia, Weiwei Shang, Fei Zhang
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IEEE Access, 2023 This work first discusses the Intelligent Transportation System (ITS)-oriented dynamic and static Information Acquisition Models (IAMs) and explains the information collection mechanism of the Internet of Things (IoT)-based ITS.
Yang Cui, Dongfei Lei
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Dental Caries Detection Using Faster R-CNN and YOLO V3 [PDF]
ITM Web of Conferences, 2023 Deep learning techniques are gradually being utilized in many fields. Healthcare is a field in which deep learning can thrive. The study conducted focuses on using deep learning object detection models to detect dental cavities in an individual’s mouth ...
Juyal Aayush +4 more
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Automated egg detection using Faster R-CNN.
, 2022 A. Representative image from egg-finder dataset. Blue boxes overlaid on the right inset images indicate egg detections using the egg-finder Faster R-CNN model at the confidence score threshold of 0.01. Scale bar is 1mm. B.
Hang Lu (151732) +2 more
core +1 more source
Algorithms, 2022 Detecting insulators on a power transmission line is of great importance for the safe operation of power systems. Aiming at the problem of the missed detection and misjudgment of the original feature extraction network VGG16 of a faster region ...
Haijian Hu, Yicen Liu, Haina Rong
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Automatic Detection of Welding Defects Using Faster R-CNN
Applied Sciences, 2020 In the shipbuilding industry, the non-destructive testing for welding quality inspection is mainly used for the permanent storage of the testing results and the radio-graphic testing which can visually inspect the interior of the welded part. Experts are
Sang-jin Oh +3 more
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