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 701–800 of 108,465
- Switching Convolutional Neural Network for Crowd CountingDeepak Babu Sam, Shiv Surya, R. Venkatesh Babu · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Deep Visual-Semantic Alignments for Generating Image DescriptionsKarpathy, Andrej, Fei-Fei, Li · 2017 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Recurrent convolutional neural network for object recognitionMing Liang, Xiaolin Hu · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Dynamic Head: Unifying Object Detection Heads with AttentionsXiyang Dai, Yinpeng Chen, Bin Xiao, Dongdong Chen, Mengchen Liu, Lu Yuan, Lei Zhang · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- cuDNN: Efficient Primitives for Deep LearningSharan Chetlur, Cliff Woolley, Philippe Vandermersch, Cohen, Jonathan, John J. Tran, Bryan Catanzaro, Evan Shelhamer · 2014 · arXiv (Cornell University)
- CityPersons: A Diverse Dataset for Pedestrian DetectionZhang, Shanshan, Benenson, Rodrigo, Schiele, Bernt · 2017 · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- VBPR: Visual Bayesian Personalized Ranking from Implicit FeedbackRuining He, Julian McAuley · 2016 · Proceedings of the AAAI Conference on Artificial Intelligence
- Plant Disease Detection and Classification by Deep Learning—A ReviewLili Li, Shujuan Zhang, Bin Wang · 2021 · IEEE Access
- Supervised Hashing for Image Retrieval via Image Representation LearningRongkai Xia, Yan Pan, Hanjiang Lai, Cong Liu, Shuicheng Yan · 2014 · Proceedings of the AAAI Conference on Artificial Intelligence
- Traffic-Sign Detection and Classification in the WildZhu, Zhe, Liang, Dun, Zhang, Songhai, Huang, Xiaolei, Li, Baoli, Hu, Shimin · 2016 · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- Deep face recognition: A surveyMei Wang, Weihong Deng · 2020 · Neurocomputing
- Unsupervised Learning of Visual Representations Using VideosWang, Xiaolong, Gupta, Abhinav · 2015 · 2015 IEEE International Conference on Computer Vision (ICCV)
- An overview of deep learning in medical imaging focusing on MRIAlexander Selvikvåg Lundervold, Arvid Lundervold · 2018 · NORA - Norwegian Open Research Archives
- The functional diversity of retinal ganglion cells in the mouseBaden, Tom, Berens, Philipp, Franke, Katrin, Román Rosón, Miroslav, Bethge, Matthias, Euler, Thomas · 2016 · Nature
- Cost-Sensitive Learning of Deep Feature Representations From Imbalanced DataSalman H. Khan, Munawar Hayat, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto B. Togneri · 2017 · IEEE Transactions on Neural Networks and Learning Systems
- Relation-Shape Convolutional Neural Network for Point Cloud AnalysisYongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and OpportunitiesGong Cheng, Xingxing Xie, Junwei Han, Lei Guo, Gui-Song Xia · 2020 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Character-Aware Neural Language ModelsKim, Yoon, Jernite, Yacine, Sontag, David, Rush, Alexander M. · 2015 · arXiv
- Deep content-based music recommendationAäron van den Oord, Sander Dieleman, Benjamin Schrauwen · 2013 · Ghent University Academic Bibliography (Ghent University)
- Convolutional Features for Correlation Filter Based Visual TrackingMartin Danelljan, Gustav Hager, Fahad Shahbaz Khan, Michael Felsberg · 2015 · IEEE International Conference on Computer Vision Workshops
- Gland segmentation in colon histology images: The glas challenge contestKorsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng‐Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez et al. · 2016 · Medical Image Analysis
- EIE: Efficient Inference Engine on Compressed Deep Neural NetworkHan, Song, Liu, Xingyu, Mao, Huizi, Pu, Jing, Pedram, Ardavan, Horowitz, Mark A., Dally, William J. · 2016 · 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)
- Auto-encoder based dimensionality reductionYasi Wang, Hongxun Yao, Sicheng Zhao · 2015 · Neurocomputing
- Next-Generation Machine Learning for Biological NetworksDiogo M. Camacho, Katherine M. Collins, Rani K. Powers, James C. Costello, James J. Collins · 2018 · Cell
- Importance Estimation for Neural Network PruningMolchanov, Pavlo, Mallya, Arun, Tyree, Stephen, Frosio, Iuri, Kautz, Jan · 2019 · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identificationTong Xiao, Hongsheng Li, Wanli Ouyang, Xiaogang Wang · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Pre-trained models: Past, present and futureHan, Xu, Zhang, Zhengyan, Ding, Ning, Gu, Yuxian, Liu, Xiao, Huo, Yuqi, Qiu, Jiezhong, Yao, Yuan, Zhang, Ao, Zhang, Liang et al. · 2021 · AI Open
- Clearing the Skies: A Deep Network Architecture for Single-Image Rain RemovalXueyang Fu, Jia‐Bin Huang, Xinghao Ding, Yinghao Liao, John William Paisley · 2017 · IEEE Transactions on Image Processing
- Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive SurveyDeng, By Lei, Li, Guoqi, Han, Song, Shi, Luping, Xie, Yuan · 2020 · Proceedings of the IEEE
- Temporal pattern attention for multivariate time series forecastingShun-Yao Shih, Fan-Keng Sun, Hung-yi Lee · 2019 · Machine Learning
- A survey of modern deep learning based object detection modelsSyed Sahil Abbas Zaidi, Mohd. Samar Ansari, Asra Aslam, Nadia Kanwal, Mamoona Naveed Asghar, Brian Lee · 2022 · Digital Signal Processing
- Compressing Neural Networks with the Hashing TrickChen, Wenlin, Wilson, James T., Tyree, Stephen, Weinberger, Kilian Q., Chen, Yixin · 2015 · arXiv
- Large scale deep learning for computer aided detection of mammographic lesionsKooi, Thijs, Litjens, Geert, van Ginneken, Bram, Gubern-Mérida, Albert, Sánchez, Clara I., Mann, Ritse, den Heeten, Ard, Karssemeijer, Nico · 2017 · Medical Image Analysis
- Automated Pixel‐Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep‐Learning NetworkAllen A. Zhang, Kelvin C. P. Wang, Baoxian Li, Enhui Yang, Xianxing Dai, Yi Liang Peng, Yue Fei, Yang Liu, Qiang Li, Cheng Chen · 2017 · Computer-Aided Civil and Infrastructure Engineering
- Transfer learning for medical image classification: a literature reviewHee E. Kim, Alejandro Cosa‐Linan, Nandhini Santhanam, Mahboubeh Jannesari, Mate Elod Maros, Thomas Ganslandt · 2022 · BMC Medical Imaging
- Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful LifeG. S. D. Babu, Peilin Zhao, Xiaoli Li · 2016 · Lecture notes in computer science
- ShiDianNaoZidong Du, Robert Fasthuber, Tianshi Chen, Paolo Ienne, Ling Li, Tao Luo, Xiaobing Feng, Yunji Chen, Olivier Temam · 2015 · Proceedings - International Symposium on Computer Architecture/Proceedings
- Temporal Action Localization in Untrimmed Videos via Multi-stage CNNsZheng Shou, Dongang Wang, Shih‐Fu Chang · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Visual interpretability for deep learning: a surveyQuanshi Zhang, Song Chun Zhu · 2018 · Frontiers of Information Technology & Electronic Engineering
- Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT ImagesYing Song, Shuangjia Zheng, Liang Li, Xiang Zhang, Xiaodong Zhang, Ziwang Huang, Jianwen Chen, Huiying Zhao, Ruixuan Wang, Yutian Chong et al. · 2021 · IEEE Transactions on Computational Biology and Bioinformatics
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural NetworksLiu, Kang, Dolan-Gavitt, Brendan, Garg, Siddharth · 2018 · Lecture Notes in Computer Science
- Describing Videos by Exploiting Temporal StructureYao, Li, Torabi, Atousa, Cho, Kyunghyun, Ballas, Nicolas, Pal, Christopher, Larochelle, Hugo, Courville, Aaron · 2015 · 2015 IEEE International Conference on Computer Vision (ICCV)
- Deep learning based feature selection for remote sensing scene classificationZou, Qin, Ni, Lihao, Zhang, Tong, Wang, Qian · 2015 · IEEE Geoscience and Remote Sensing Letters
- Learning from massive noisy labeled data for image classificationTong Xiao, Tian Xia, Yi Yang, Chang Huang, Xiaogang Wang · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Deep Metric Learning for Person Re-identificationDong Yi, Zhen Lei, Shengcai Liao, Stan Ziqing Li · 2014 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
- D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road ExtractionLichen Zhou, Chuang Zhang, Ming Wu · 2018 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- EfficientViT: Memory Efficient Vision Transformer with Cascaded Group AttentionLiu, Xinyu, Peng, Houwen, Zheng, Ningxin, Yang, Yuqing, Hu, Han, Yuan, Yixuan · 2023 · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Long-Term Temporal Convolutions for Action RecognitionGül Varol, Ivan Laptev, Cordelia Schmid · 2017 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Deep Learning for Tomato Diseases: Classification and Symptoms VisualizationMohammed Brahimi, Kamel Boukhalfa, Abdelouahab Moussaouı · 2017 · Applied Artificial Intelligence
- Deep Forest: Towards An Alternative to Deep Neural NetworksZhi‐Hua Zhou, Ji Feng · 2017 · International Joint Conference on Artificial Intelligence
- ASTER: An Attentional Scene Text Recognizer with Flexible RectificationBaoguang Shi, Ming-Kun Yang, Xing-Gang Wang, Pengyuan Lyu, Cong Yao, Xiang Bai · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Breast cancer histopathological image classification using Convolutional Neural NetworksFábio Alexandre Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte · 2016 · International Joint Conference on Neural Networks (IJCNN)
- Exploring Self-Attention for Image RecognitionZhao, Hengshuang, Jia, Jiaya, Koltun, Vladlen · 2020 · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Plant leaf disease classification using EfficientNet deep learning modelÜmit Atila, Murat Berat UÇAR, Kemal Akyol, Emine Uçar · 2020 · Ecological Informatics
- SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation GuidelinesXu, Yinda, Wang, Zeyu, Li, Zuoxin, Yuan, Ye, Yu, Gang · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
- Image Quality Assessment: Unifying Structure and Texture SimilarityKeyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- An Introduction to Convolutional Neural NetworksKeiron O’Shea, Ryan Nash · 2015 · arXiv (Cornell University)
- Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self DistillationLinfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Environmental sound classification with convolutional neural networksKarol J. Piczak · 2015 · Machine learning for signal processing ...
- Deep Supervised Hashing for Fast Image RetrievalLiu, Haomiao, Wang, Ruiping, Shan, Shiguang, Chen, Xilin · 2016 · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- Exploring Visual Relationship for Image CaptioningTing Yao, Yingwei Pan, Yehao Li, Tao Mei · 2018 · Lecture notes in computer science
- Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signalsU. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Muhammad Adam · 2017 · Information Sciences
- Two at Once: Enhancing Learning and Generalization Capacities via IBN-NetXingang Pan, Ping Luo, Jianping Shi, Xiaoou Tang · 2018 · Lecture notes in computer science
- Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic reviewDiego Patrício, Rafael Rieder · 2018 · Computers and Electronics in Agriculture
- Compression Artifacts Reduction by a Deep Convolutional NetworkChao Dong, Yubin Deng, Chen Change Loy, Xiaoou Tang · 2015 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Benchmarking Deep Reinforcement Learning for Continuous ControlDuan, Yan, Chen, Xi, Houthooft, Rein, Schulman, John, Abbeel, Pieter · 2016 · arXiv
- Interpretable machine learning: Fundamental principles and 10 grand challengesRudin, Cynthia, Chen, Chaofan, Chen, Zhi, Huang, Haiyang, Semenova, Lesia, Zhong, Chudi · 2022 · Statistics Surveys
- FFDNet: Toward a fast and flexible solution for CNN-Based image denoisingZhang, K, Zuo, W, Zhang, L · 2018 · TUScholarShare (Temple University)
- Spiking Deep Convolutional Neural Networks for Energy-Efficient Object RecognitionYongqiang Cao, Yang Chen, Deepak Khosla · 2014 · International Journal of Computer Vision
- HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual RecognitionYan, Zhicheng, Zhang, Hao, Piramuthu, Robinson, Jagadeesh, Vignesh, DeCoste, Dennis, Di, Wei, Yu, Yizhou · 2015 · 2015 IEEE International Conference on Computer Vision (ICCV)
- An Analysis of Scale Invariance in Object Detection - SNIPSingh, Bharat, Davis, Larry S. · 2018 · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
- Machine Learning Methods for Histopathological Image AnalysisKomura, Daisuke, Ishikawa, Shumpei · 2018 · Computational and Structural Biotechnology Journal
- Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge ComputingLi, En, Zeng, Liekang, Zhou, Zhi, Chen, Xu · 2020 · IEEE Transactions on Wireless Communications
- SCNNAngshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel Emer, Stephen W. Keckler, W.J. Dally · 2017 · Proceedings - International Symposium on Computer Architecture/Proceedings
- Optuna: A Next-generation Hyperparameter Optimization FrameworkTakuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, Masanori Koyama · 2019 · arXiv (Cornell University)
- Deep-Learning-Enabled On-Demand Design of Chiral MetamaterialsWei Ma, Feng Cheng, Yongmin Liu · 2018 · ACS Nano
- Efficient and self-adaptive in-situ learning in multilayer memristor neural networksLi, Can, Belkin, Daniel, Li, Yunning, Yan, Peng, Hu, Miao, Ge, Ning, Jiang, Hao, Montgomery, Eric, Lin, Peng, Wang, Zhongrui et al. · 2018 · Nature Communications
- Learning Memory-Guided Normality for Anomaly DetectionHyunjong Park, Jongyoun Noh, Bumsub Ham · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Pruning and quantization for deep neural network acceleration: A surveyTailin Liang, John Glossner, Lei Wang, Shaobo Shi, Xiaotong Zhang · 2021 · Neurocomputing
- Is object localization for free? - Weakly-supervised learning with convolutional neural networksOquab, Maxime, Bottou, Leon, Laptev, Ivan, Sivic, Josef · 2015 · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- Eye Tracking for EveryoneKyle Krafka, Aditya Khosla, Petr Kellnhofer, Harini Kannan, Suchendra M. Bhandarkar, Wojciech Matusik, Antonio B. Torralba · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challengesNweke, Henry Friday, Teh, Ying Wah, Al-garadi, Mohammed Ali, Alo, Uzoma Rita · 2018 · Expert Systems with Applications
- Simultaneous feature learning and hash coding with deep neural networksLai, Hanjiang, Pan, Yan, Ye Liu, Yan, Shuicheng · 2015 · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- Convolutional neural network for earthquake detection and locationThibaut Perol, Michaël Gharbi, Marine Denolle · 2018 · Science Advances
- Optimizing Intersection-Over-Union in Deep Neural Networks for Image SegmentationMd. Atiqur Rahman, Yang Wang · 2016 · Lecture notes in computer science
- ADMM-CSNet: A Deep Learning Approach for Image Compressive SensingYan Yang, Jian Zhong Sun, Huibin Li, Zongben Xu · 2018 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Deep Expectation of Real and Apparent Age from a Single Image Without Facial LandmarksRasmus Rothe, Radu Timofte, Luc Van Gool · 2016 · International Journal of Computer Vision
- Real-time grasp detection using convolutional neural networksJoseph Redmon, Anelia Angelova · 2015 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Temporal Segment Networks for Action Recognition in VideosLimin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool · 2018 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover’s Distance and Structured ClassifiersChi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- A Survey on Neural Network InterpretabilityZhang, Yu, Tino, Peter, Leonardis, Ales, Tang, Ke · 2021 · IEEE Transactions on Emerging Topics in Computational Intelligence
- Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent EmbeddingsBergmann, Paul, Fauser, Michael, Sattlegger, David, Steger, Carsten · 2020 · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- A Discriminatively Learned CNN Embedding for Person ReidentificationZhedong Zheng, Liang Zheng, Yi Yang · 2017 · ACM Transactions on Multimedia Computing Communications and Applications
- SegFormer: Simple and Efficient Design for Semantic Segmentation with TransformersXie, Enze, Wang, Wenhai, Yu, Zhiding, Anandkumar, Anima, Alvarez, Jose M., Luo, Ping · 2021 · arXiv
- Towards better exploiting convolutional neural networks for remote sensing scene classificationKeiller Nogueira, Otávio A. B. Penatti, Jefersson A. dos Santos · 2016 · Pattern Recognition
- High-Resolution Image Inpainting Using Multi-scale Neural Patch SynthesisChao Yang, Xin Lu, Zhe Lin, Eli Shechtman, Oliver Wang, Hao Li · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Adversarial Examples for Semantic Segmentation and Object DetectionCihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan Yuille · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
- A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN FrameworkWeixin Luo, Wen Liu, Shenghua Gao · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Vehicle detection in aerial imagery : A small target detection benchmarkRazakarivony, Sebastien, Jurie, Frederic · 2016 · Journal of Visual Communication and Image Representation
- Segmenting Retinal Blood Vessels With Deep Neural NetworksPaweł Liskowski, Krzysztof Krawiec · 2016 · IEEE Transactions on Medical Imaging