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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2017) Vol. 40, Iss. 4, pp. 834-848
Open Access | Times Cited: 18641

Showing 1-25 of 18641 citing articles:

MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, et al.
(2018), pp. 4510-4520
Open Access | Times Cited: 19587
Pyramid Scene Parsing Network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, et al.
(2017)
Open Access | Times Cited: 13036
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, et al.
Lecture notes in computer science (2018), pp. 833-851
Closed Access | Times Cited: 11824
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He, Haoqi Fan, Yuxin Wu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 9274
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao
arXiv (Cornell University) (2020)
Open Access | Times Cited: 8421
Dual Attention Network for Scene Segmentation
Jun Fu, Jing Liu, Haijie Tian, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 3141-3149
Open Access | Times Cited: 5746
Searching for MobileNetV3
Andrew Howard, Mark Sandler, Bo Chen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 1314-1324
Closed Access | Times Cited: 5580
Deformable Convolutional Networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, et al.
(2017)
Open Access | Times Cited: 5466
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, et al.
IEEE Transactions on Medical Imaging (2016) Vol. 35, Iss. 5, pp. 1285-1298
Open Access | Times Cited: 5148
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F. Jaeger, Simon Kohl, et al.
Nature Methods (2020) Vol. 18, Iss. 2, pp. 203-211
Closed Access | Times Cited: 4861
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 4693
Deep High-Resolution Representation Learning for Human Pose Estimation
Ke Sun, Bin Xiao, Dong Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 5686-5696
Open Access | Times Cited: 4363
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 6022-6031
Open Access | Times Cited: 3574
Colorful Image Colorization
Richard Zhang, Phillip Isola, Alexei A. Efros
Lecture notes in computer science (2016), pp. 649-666
Closed Access | Times Cited: 3279
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang, Ke Sun, Tianheng Cheng, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) Vol. 43, Iss. 10, pp. 3349-3364
Open Access | Times Cited: 3204
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang, Enze Xie, Xiang Li, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 2992
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin, Anton Milan, Chunhua Shen, et al.
(2017), pp. 5168-5177
Open Access | Times Cited: 2970
Image Segmentation Using Deep Learning: A Survey
Shervin Minaee, Yuri Boykov, Fatih Porikli, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021), pp. 1-1
Open Access | Times Cited: 2708
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 2684
Scene Parsing through ADE20K Dataset
Bolei Zhou, Hang Zhao, Xavier Puig, et al.
(2017)
Open Access | Times Cited: 2632
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li, Fan Liu, Wenjie Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 12, pp. 6999-7019
Open Access | Times Cited: 2630
Res2Net: A New Multi-Scale Backbone Architecture
Shanghua Gao, Ming–Ming Cheng, Kai Zhao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019) Vol. 43, Iss. 2, pp. 652-662
Open Access | Times Cited: 2508
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 2463
Semantic Image Synthesis With Spatially-Adaptive Normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Open Access | Times Cited: 2462
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, et al.
(2018), pp. 8934-8943
Open Access | Times Cited: 2426
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