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Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection [PDF]
Computer Vision and Pattern RecognitionSingle-source domain generalization (SDG) for object detection is a challenging yet essential task as the distribution bias of the unseen domain degrades the algorithm per-formance significantly.
Yajing Liu +5 more
semanticscholar +1 more source
Chinese Medical Journal, 2019 . Background:. An artificial intelligence system of Faster Region-based Convolutional Neural Network (Faster R-CNN) is newly developed for the diagnosis of metastatic lymph node (LN) in rectal cancer patients.
Lei Ding +14 more
doaj +1 more source
Cascade Faster R-CNN Detection for Vulnerable Plaques in OCT Images
IEEE Access, 2021 Through the application of optical coherence tomography (OCT), computerized medical image analysis can provide intelligent, auxiliary diagnosis for patients with atherosclerosis.
Chao-Yu Sun +5 more
doaj +1 more source
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
doaj +1 more source
Detecting and classifying lesions in mammograms with Deep Learning [PDF]
, 2017 In the last two decades Computer Aided Diagnostics (CAD) systems were developed to help radiologists analyze screening mammograms. The benefits of current CAD technologies appear to be contradictory and they should be improved to be ultimately considered
Csabai, István +4 more
core +4 more sources
, 2015 This paper proposes a Fast Region-based Convolutional Network method (Fast R-CNN) for object detection. Fast R-CNN builds on previous work to efficiently classify object proposals using deep convolutional networks.
Girshick, Ross
core +1 more source
A Study on Pine Larva Detection System Using Swin Transformer and Cascade R-CNN Hybrid Model
Applied Sciences, 2023 Pine trees are more vulnerable to diseases and pests than other trees, so prevention and management are necessary in advance. In this paper, two models of deep learning were mixed to quickly check whether or not to detect pine pests and to perform a ...
Sang-Hyun Lee, Gao Gao
doaj +1 more source
Sensors, 2022 In orchard fruit picking systems for pears, the challenge is to identify the full shape of the soft fruit to avoid injuries while using robotic or automatic picking systems.
Siyu Pan, Tofael Ahamed
doaj +1 more source
Small-Scale Pedestrian Detection Based on Improved Faster R-CNN [PDF]
Jisuanji gongcheng, 2020 To improve the accuracy of small-scale pedestrian detection,this paper proposes a target detection method based on improved Faster R-CNN.The network structure uses a new aligned pooling layer based on bilinear interpolation to avoid the positional ...
CHEN Ze, YE Xueyi, QIAN Dingwei, WEI Yangyang
doaj +1 more source
Symbol detection in online handwritten graphics using Faster R-CNN
, 2017 Symbol detection techniques in online handwritten graphics (e.g. diagrams and mathematical expressions) consist of methods specifically designed for a single graphic type. In this work, we evaluate the Faster R-CNN object detection algorithm as a general
Hirata, Nina S. T. +1 more
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