A comprehensive and systematic look up into deep learning based object detection techniques: a review

DOI10.1016/j.cosrev.2020.100301zbMath1484.68261OpenAlexW3086583298MaRDI QIDQ2065967

Vipul Sharma, Roohie Naaz Mir

Publication date: 13 January 2022

Published in: Computer Science Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cosrev.2020.100301

zbMATH Keywords

classificationlocalizationsegmentationobject detectionconvolutional neural networksdeep learning

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Research exposition (monographs, survey articles) pertaining to computer science (68-02) Machine vision and scene understanding (68T45)

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Uses Software

• SIFT
• Caffe
• OverFeat
• ImageNet
• Adam
• SSD
• CycleGAN
• pix2pix
• YOLO
• SURF
• KITTI
• PointNet
• VoxelNet
• MS-COCO
• FCOS
• LVIS
• PASCAL VOC
• CityPersons
• AdaCos
• WIDER FACE
• AlexNet
• Xception
• SphereFace
• ApolloCar3D
• FDDB
• ShuffleNet
• DeepID3
• MobileNets
• Inception-v4
• CenterNet
• BigGAN
• Faster R-CNN
• Vote3Deep
• GrammarViz
• MobileNetV2

Cites Work

• Unnamed Item
• Unnamed Item
• Change-point detection in time-series data by relative density-ratio estimation
• Robust principal component analysis?
• Tensor completion and low-n-rank tensor recovery via convex optimization
• Text-Attentional Convolutional Neural Network for Scene Text Detection
• Feature Pyramid Reconfiguration With Consistent Loss for Object Detection
• A Stochastic Approximation Method

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