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Работы, на которые ссылается эта работа
Работ: 22
Работа: Automatic Classification and Diagnostic Analysis of Microscopic Blood Images Using R CNN Model
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren +1
Статья2016Цитирований: 61ABIImageNet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton
Статья2017Цитирований: 23ABIFully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, Trevor Darrell
Препринт2015Цитирований: 12ABISSD: Single Shot MultiBox Detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan +2
Глава2016Цитирований: 11ABIGoing deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia +6
Статья2015Цитирований: 11ABISSD: Single Shot MultiBox Detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan +4
Глава2016Цитирований: 9ABIFaster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick +1
Статья2015Цитирований: 5ABIRich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell +1
Статья2014Цитирований: 4ABIDeep Learning in Medical Image Analysis
Dinggang Shen, Guorong Wu, Heung‐Il Suk
Обзорная статья2017Цитирований: 4ABITensorFlow: a system for large-scale machine learning
Martı́n Abadi, Paul Barham, Jianmin Chen +19
Статья2016Цитирований: 4ABIAdvances in Neural Information Processing Systems 32 (NeurIPS 2019)
Hanna Wallach, Hugo Larochelle, Alina Beygelzimer +3
Препринт2020Цитирований: 2ABI