ImageNet classification with deep convolutional neural networks

Krizhevsky, Alex, Sutskever, Ilya, Hinton, Geoffrey E.·2017·Communications of the ACM
DOI 10.1145/3065386

Cited by (108,465)

Items 101–200 of 108,465

  1. Learning a Deep Convolutional Network for Image Super-Resolution
    Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang · 2014 · Lecture notes in computer science
  2. Stacked Hourglass Networks for Human Pose Estimation
    Newell, Alejandro, Yang, Kaiyu, Deng, Jia · 2016 · Lecture Notes in Computer Science
  3. Object Detection With Deep Learning: A Review
    Zhao, Zhong-Qiu, Zheng, Peng, Xu, Shou-Tao, Wu, Xindong · 2019 · IEEE Transactions on Neural Networks and Learning Systems
  4. Machine learning: Algorithms, real-world applications and research directions
    Sarker, Iqbal H. · 2021 · SN Computer Science
  5. Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
    Yan, Sijie, Xiong, Yuanjun, Lin, Dahua · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
  6. DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks
    Moosavi-Dezfooli, Seyed-Mohsen, Fawzi, Alhussein, Frossard, Pascal · 2016 · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  7. Long-term recurrent convolutional networks for visual recognition and description
    Donahue, Jeff, Hendricks, Lisa Anne, Guadarrama, Sergio, Rohrbach, Marcus, Venugopalan, Subhashini, Darrell, Trevor, Saenko, Kate · 2015 · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  8. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
    Krishna, Ranjay, Zhu, Yuke, Groth, Oliver, Johnson, Justin, Hata, Kenji, Kravitz, Joshua, Chen, Stephanie, Kalantidis, Yannis, Li, Li-Jia, Shamma, David A. et al. · 2017 · International Journal of Computer Vision
  9. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
    Mathis, Alexander, Mamidanna, Pranav, Cury, Kevin M., Abe, Taiga, Murthy, Venkatesh N., Mathis, Mackenzie Weygandt, Bethge, Matthias · 2018 · Nature Neuroscience
  10. A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
    Li, Zewen, Liu, Fan, Yang, Wenjie, Peng, Shouheng, Zhou, Jun · 2022 · IEEE Transactions on Neural Networks and Learning Systems
  11. Deep learning in agriculture: A survey
    Andreas Kamilaris, Francesc Xavier Prenafeta-Boldú · 2018 · Computers and Electronics in Agriculture
  12. Deep Face Recognition
    Parkhi, Omkar M., Vedaldi, Andrea, Zisserman, Andrew · 2015 · Procedings of the British Machine Vision Conference 2015
  13. Using Deep Learning for Image-Based Plant Disease Detection
    Sharada P. Mohanty, David Peter Hughes, Marcel Salathé · 2016 · Frontiers in Plant Science
  14. Deep learning in medical image analysis
    Shen, Dinggang, Wu, Guorong, Suk, Heung-Il · 2017 · Annual Review of Biomedical Engineering
  15. Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
    Wang, Wenhai, Xie, Enze, Li, Xiang, Fan, Deng-Ping, Song, Kaitao, Liang, Ding, Lu, Tong, Luo, Ping, Shao, Ling · 2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  16. CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
    Yun, Sangdoo, Han, Dongyoon, Chun, Sanghyuk, Oh, Seong Joon, Yoo, Youngjoon, Choe, Junsuk · 2019 · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
  17. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
    Kermany, Daniel S., Goldbaum, Michael, Cai, Wenjia, Valentim, Carolina C.S., Liang, Huiying, Baxter, Sally L., McKeown, Alex, Yang, Ge, Wu, Xiaokang, Yan, Fangbing et al. · 2018 · Cell
  18. Deep visual-semantic alignments for generating image descriptions
    Karpathy, Andrej, Fei-Fei, Li · 2015 · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  19. Deep High-Resolution Representation Learning for Visual Recognition
    Wang, Jingdong, Sun, Ke, Cheng, Tianheng, Jiang, Borui, Deng, Chaorui, Zhao, Yang, Liu, Dong, Mu, Yadong, Tan, Mingkui, Wang, Xinggang et al. · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  20. Multimodal Machine Learning: A Survey and Taxonomy
    Baltrusaitis, Tadas, Ahuja, Chaitanya, Morency, Louis-Philippe · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  21. GhostNet: More Features From Cheap Operations
    Han, Kai, Wang, Yunhe, Tian, Qi, Guo, Jianyuan, Xu, Chunjing, Xu, Chang · 2020 · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  22. 3D ShapeNets: A deep representation for volumetric shapes
    Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, Jianxiong Xiao · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  23. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
    Zhou, Yin, Tuzel, Oncel · 2018 · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
  24. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
    Bach, Sebastian, Binder, Alexander, Montavon, Grégoire, Klauschen, Frederick, Müller, Klaus-Robert, Samek, Wojciech · 2015 · PLOS ONE
  25. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
    Szegedy, Christian, Ioffe, Sergey, Vanhoucke, Vincent, Alemi, Alexander · 2017 · Proceedings of the AAAI Conference on Artificial Intelligence
  26. Fully-Convolutional Siamese Networks for Object Tracking
    Bertinetto, Luca, Valmadre, Jack, Henriques, João F., Vedaldi, Andrea, Torr, Philip H. S. · 2016 · Lecture Notes in Computer Science
  27. In-Datacenter Performance Analysis of a Tensor Processing Unit
    Jouppi, Norman P., Young, Cliff, Patil, Nishant, Patterson, David, Agrawal, Gaurav, Bajwa, Raminder, Bates, Sarah, Bhatia, Suresh, Boden, Nan, Borchers, Al et al. · 2017 · Proceedings of the 44th Annual International Symposium on Computer Architecture
  28. Untitled work
    Han · 2023 · 10.1109/tpami.2022.3152247
  29. VQA: Visual Question Answering
    Antol, Stanislaw, Agrawal, Aishwarya, Lu, Jiasen, Mitchell, Margaret, Batra, Dhruv, Zitnick, C. Lawrence, Parikh, Devi · 2015 · 2015 IEEE International Conference on Computer Vision (ICCV)
  30. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
    Razavian, Ali Sharif, Azizpour, Hossein, Sullivan, Josephine, Carlsson, Stefan · 2014 · 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops
  31. Flownet: Learning optical flow with convolutional networks
    Dosovitskiy, Alexey, Fischer, Philipp, Ilg, Eddy, Hausser, Philip, Hazirbas, Caner, Golkov, Vladimir, Smagt, Patrick van der, Cremers, Daniel, Brox, Thomas · 2015 · 2015 IEEE International Conference on Computer Vision (ICCV)
  32. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
    Dai, Angela, Chang, Angel X., Savva, Manolis, Halber, Maciej, Funkhouser, Thomas, Niessner, Matthias · 2017 · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  33. Efficient Processing of Deep Neural Networks: A Tutorial and Survey
    Sze, Vivienne, Chen, Yu-Hsin, Yang, Tien-Ju, Emer, Joel S. · 2017 · Proceedings of the IEEE
  34. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
    Rastegari, Mohammad, Ordonez, Vicente, Redmon, Joseph, Farhadi, Ali · 2016 · Lecture Notes in Computer Science
  35. Deep Residual Learning for Image Recognition
    He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, Sun, Jian · 2015 · arXiv
  36. Places: A 10 Million Image Database for Scene Recognition
    Zhou, Bolei, Lapedriza, Agata, Khosla, Aditya, Oliva, Aude, Torralba, Antonio · 2018 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  37. Learning without Forgetting
    Li, Zhizhong, Hoiem, Derek · 2018 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  38. Learning Deconvolution Network for Semantic Segmentation
    Noh, Hyeonwoo, Hong, Seunghoon, Han, Bohyung · 2015 · 2015 IEEE International Conference on Computer Vision (ICCV)
  39. Residual Attention Network for Image Classification
    Wang, Fei, Jiang, Mengqing, Qian, Chen, Yang, Shuo, Li, Cheng, Zhang, Honggang, Wang, Xiaogang, Tang, Xiaoou · 2017 · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  40. A Discriminative Feature Learning Approach for Deep Face Recognition
    Wen, Yandong, Zhang, Kaipeng, Li, Zhifeng, Qiao, Yu · 2016 · Lecture Notes in Computer Science
  41. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
    Donahue, Jeff, Jia, Yangqing, Vinyals, Oriol, Hoffman, Judy, Zhang, Ning, Tzeng, Eric, Darrell, Trevor · 2013 · arXiv
  42. Understanding of a convolutional neural network
    Saad Albawi, Tareq Abed Mohammed, Saad Al-Azawi · 2017
  43. Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
    Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool · 2016 · Lecture notes in computer science
  44. The Limitations of Deep Learning in Adversarial Settings
    Papernot, Nicolas, McDaniel, Patrick, Jha, Somesh, Fredrikson, Matt, Celik, Z. Berkay, Swami, Ananthram · 2016 · 2016 IEEE European Symposium on Security and Privacy (EuroS&P)
  45. Billion-scale similarity search with GPUs
    Johnson, Jeff, Douze, Matthijs, Jegou, Herve · 2021 · IEEE Transactions on Big Data
  46. Knowledge Distillation: A Survey
    Gou, Jianping, Yu, Baosheng, Maybank, Stephen J., Tao, Dacheng · 2021 · International Journal of Computer Vision
  47. Deep learning with convolutional neural networks for EEG decoding and visualization
    Schirrmeister, Robin Tibor, Springenberg, Jost Tobias, Fiederer, Lukas Dominique Josef, Glasstetter, Martin, Eggensperger, Katharina, Tangermann, Michael, Hutter, Frank, Burgard, Wolfram, Ball, Tonio · 2017 · Human Brain Mapping
  48. SlowFast Networks for Video Recognition
    Feichtenhofer, Christoph, Fan, Haoqi, Malik, Jitendra, He, Kaiming · 2019 · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
  49. Image segmentation using deep learning: A survey
    Minaee, Shervin, Boykov, Yuri Y., Porikli, Fatih, Plaza, Antonio J, Kehtarnavaz, Nasser, Terzopoulos, Demetri · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  50. Geometric Deep Learning: Going beyond Euclidean data
    Bronstein, Michael M., Bruna, Joan, LeCun, Yann, Szlam, Arthur, Vandergheynst, Pierre · 2017 · IEEE Signal Processing Magazine
  51. Learning Transferable Features with Deep Adaptation Networks
    Long, Mingsheng, Cao, Yue, Wang, Jianmin, Jordan, Michael I. · 2015 · arXiv
  52. VoxNet: A 3D Convolutional Neural Network for real-time object recognition
    Daniel Maturana, Sebastian Scherer · 2015 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  53. Unsupervised Feature Learning via Non-parametric Instance Discrimination
    Wu, Zhirong, Xiong, Yuanjun, Yu, Stella X., Lin, Dahua · 2018 · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
  54. Random Erasing Data Augmentation
    Zhong, Zhun, Zheng, Liang, Kang, Guoliang, Li, Shaozi, Yang, Yi · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
  55. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
    Chen, Liang-Chieh, Papandreou, George, Kokkinos, Iasonas, Murphy, Kevin, Yuille, Alan L. · 2014 · arXiv
  56. A Closer Look at Spatiotemporal Convolutions for Action Recognition
    Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  57. Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
    Kamnitsas, Konstantinos, Ledig, Christian, Newcombe, Virginia F.J., Simpson, Joanna P., Kane, Andrew D., Menon, David K., Rueckert, Daniel, Glocker, Ben · 2017 · Medical Image Analysis
  58. Mask r-cnn
    He, Kaiming, Gkioxari, Georgia, Dollar, Piotr, Girshick, Ross · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  59. Res2Net: A New Multi-Scale Backbone Architecture
    Shanghua Gao, Ming‐Ming Cheng, Kai Zhao, Xinyu Zhang, Ming–Hsuan Yang, Philip H. S. Torr · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  60. Multi-view Convolutional Neural Networks for 3D Shape Recognition
    Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik G. Miller · 2015 · IEEE/CVF International Conference on Computer Vision (ICCV)
  61. Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
    Ehteshami Bejnordi, Babak, Veta, Mitko, Johannes van Diest, Paul, van Ginneken, Bram, Karssemeijer, Nico, Litjens, Geert, van der Laak, Jeroen A. W. M., and the CAMELYON16 Consortium, Hermsen, Meyke, Manson, Quirine F et al. · 2017 · JAMA
  62. DehazeNet: An End-to-End System for Single Image Haze Removal
    Cai, Bolun, Xu, Xiangmin, Jia, Kui, Qing, Chunmei, Tao, Dacheng · 2016 · IEEE Transactions on Image Processing
  63. Deep learning models for plant disease detection and diagnosis
    Konstantinos P. Ferentinos · 2018 · Computers and Electronics in Agriculture
  64. Untitled work
    2013
  65. Colorful Image Colorization
    Richard Zhang, Phillip Isola, Alexei A. Efros · 2016 · European Conference on Computer Vision
  66. Deep learning for time series classification: a review
    Ismail Fawaz, Hassan, Forestier, Germain, Weber, Jonathan, Idoumghar, Lhassane, Muller, Pierre-Alain · 2019 · Data Mining and Knowledge Discovery
  67. Deep CORAL: Correlation Alignment for Deep Domain Adaptation
    Sun, Baochen, Saenko, Kate · 2016 · Lecture Notes in Computer Science
  68. Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks
    Chattopadhay, Aditya, Sarkar, Anirban, Howlader, Prantik, Balasubramanian, Vineeth N · 2018 · 2018 IEEE Winter Conference on Applications of Computer Vision (WACV)
  69. Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
    Zhu, Xiao Xiang, Tuia, Devis, Mou, Lichao, Xia, Gui-Song, Zhang, Liangpei, Xu, Feng, Fraundorfer, Friedrich · 2017 · IEEE Geoscience and Remote Sensing Magazine
  70. DeepPose: Human Pose Estimation via Deep Neural Networks
    Alexander Toshev, Christian Szegedy · 2014 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  71. Brain tumor segmentation with Deep Neural Networks
    Havaei, Mohammad, Davy, Axel, Warde-Farley, David, Biard, Antoine, Courville, Aaron, Bengio, Yoshua, Pal, Chris, Jodoin, Pierre-Marc, Larochelle, Hugo · 2017 · Medical Image Analysis
  72. Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
    Nguyen, Anh, Yosinski, Jason, Clune, Jeff · 2015 · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  73. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
    Cho, Kyunghyun, van Merrienboer, Bart, Gulcehre, Caglar, Bahdanau, Dzmitry, Bougares, Fethi, Schwenk, Holger, Bengio, Yoshua · 2014 · arXiv
  74. Scene Parsing through ADE20K Dataset
    Zhou, Bolei, Zhao, Hang, Puig, Xavier, Fidler, Sanja, Barriuso, Adela, Torralba, Antonio · 2017 · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  75. Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
    Cha, Young‐Jin, Choi, Wooram, Büyüköztürk, Oral · 2017 · Computer-Aided Civil and Infrastructure Engineering
  76. A survey of deep neural network architectures and their applications
    Liu, Weibo, Wang, Zidong, Liu, Xiaohui, Zeng, Nianyin, Liu, Yurong, Alsaadi, Fuad E. · 2017 · Neurocomputing
  77. On hyperparameter optimization of machine learning algorithms: Theory and practice
    Li Yang, Abdallah A. Shami · 2020 · Neurocomputing
  78. Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
    Chen, Yu-Hsin, Krishna, Tushar, Emer, Joel S., Sze, Vivienne · 2017 · IEEE Journal of Solid-State Circuits
  79. An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition
    Baoguang Shi, Xiang Bai, Cong Yao · 2016 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  80. Deep learning with coherent nanophotonic circuits
    Shen, Yichen, Harris, Nicholas C., Skirlo, Scott, Prabhu, Mihika, Baehr-Jones, Tom, Hochberg, Michael, Sun, Xin, Zhao, Shijie, Larochelle, Hugo, Englund, Dirk et al. · 2017 · Nature Photonics
  81. Optimization Methods for Large-Scale Machine Learning
    Léon Bottou, Frank E. Curtis, Jorge M. Nocedal · 2018 · SIAM Review
  82. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
    Oquab, Maxime, Bottou, Leon, Laptev, Ivan, Sivic, Josef · 2014 · 2014 IEEE Conference on Computer Vision and Pattern Recognition
  83. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
    He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, Sun, Jian · 2014 · Lecture Notes in Computer Science
  84. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
    Eigen, David, Puhrsch, Christian, Fergus, Rob · 2014 · arXiv
  85. Deep learning for healthcare: review, opportunities and challenges
    Miotto, Riccardo, Wang, Fei, Wang, Shuang, Jiang, Xiaoqian, Dudley, Joel T · 2018 · Briefings in Bioinformatics
  86. Object Detection in 20 Years: A Survey
    Zou, Zhengxia, Chen, Keyan, Shi, Zhenwei, Guo, Yuhong, Ye, Jieping · 2023 · Proceedings of the IEEE
  87. Selective Kernel Networks
    Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Jun Yang · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  88. Deeply-Recursive Convolutional Network for Image Super-Resolution
    Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  89. Return of the Devil in the Details: Delving Deep into Convolutional Nets
    Chatfield, Ken, Simonyan, Karen, Vedaldi, Andrea, Zisserman, Andrew · 2014 · Proceedings of the British Machine Vision Conference 2014
  90. A systematic study of the class imbalance problem in convolutional neural networks
    Buda, Mateusz, Maki, Atsuto, Mazurowski, Maciej A. · 2018 · Neural Networks
  91. Audio Set: An ontology and human-labeled dataset for audio events
    Gemmeke, Jort F., Ellis, Daniel P. W., Freedman, Dylan, Jansen, Aren, Lawrence, Wade, Moore, R. Channing, Plakal, Manoj, Ritter, Marvin · 2017 · 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  92. End to End Learning for Self-Driving Cars
    Bojarski, Mariusz, Del Testa, Davide, Dworakowski, Daniel, Firner, Bernhard, Flepp, Beat, Goyal, Prasoon, Jackel, Lawrence D., Monfort, Mathew, Muller, Urs, Zhang, Jiakai et al. · 2016 · arXiv
  93. Survey on deep learning with class imbalance
    Johnson, Justin M., Khoshgoftaar, Taghi M. · 2019 · Journal of Big Data
  94. Training and operation of an integrated neuromorphic network based on metal-oxide memristors
    Prezioso, M., Merrikh-Bayat, F., Hoskins, B. D., Adam, G. C., Likharev, K. K., Strukov, D. B. · 2015 · Nature
  95. CosFace: Large Margin Cosine Loss for Deep Face Recognition
    Wang, Hao, Wang, Yitong, Zhou, Zheng, Ji, Xing, Gong, Dihong, Zhou, Jingchao, Li, Zhifeng, Liu, Wei · 2018 · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
  96. High Performance Visual Tracking with Siamese Region Proposal Network
    Li, Bo, Yan, Junjie, Wu, Wei, Zhu, Zheng, Hu, Xiaolin · 2018 · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
  97. SphereFace: Deep Hypersphere Embedding for Face Recognition
    Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  98. Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
    Yushi Chen, Hanlu Jiang, Chunyang Li, Xiuping Jia, Pedram Ghamisi · 2016 · IEEE Transactions on Geoscience and Remote Sensing
  99. Group Normalization
    Wu, Yuxin, He, Kaiming · 2018 · Lecture Notes in Computer Science
  100. Region-based convolutional networks for accurate object detection and segmentation
    Girshick, Ross, Donahue, Jeff, Darrell, Trevor, Malik, Jitendra · 2016 · IEEE Transactions on Pattern Analysis and Machine Intelligence