Most cited computer science papers
- Verified
YOLOv3: An Incremental Improvement
Redmon, J., & Farhadi, A. (2018) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 17,141
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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011) · Foundations and Trends® in Machine Learning
Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems
Cited by 17,075
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EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Tan, M., & Le, Q. V. (2019) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 17,072
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Nearest neighbor pattern classification
Cover, T., & Hart, P. (1967) · IEEE Transactions on Information Theory
Machine Learning and AlgorithmsData Mining and Machine Learning Applications
Cited by 16,936
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Object recognition from local scale-invariant features
Lowe, D. G. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision
Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques
Cited by 16,472
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Pyramid Scene Parsing Network
Zhao, H., Shi, J., Qi, X., Wang, X., & Jia, J. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsRemote-Sensing Image Classification
Cited by 16,438
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A fast learning algorithm for deep belief nets
Hinton, G. E., Osindero, S., & Teh, Y.-W. (2006) · Neural Computation
Neural Networks and ApplicationsBayesian Modeling and Causal Inference
Cited by 16,336
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Social network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication
Media and Digital CommunicationSocial Media and Politics
Cited by 16,251
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Neural Machine Translation by Jointly Learning to Align and Translate
Bahdanau, D., Cho, K., & Bengio, Y. (2014) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 16,213
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High-Resolution Image Synthesis with Latent Diffusion Models
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., & Ommer, B. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Generative Adversarial Networks and Image SynthesisComputer Graphics and Visualization Techniques
Cited by 15,880
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Least squares quantization in PCM
Lloyd, S. (1982) · IEEE Transactions on Information Theory
Advanced Data Compression TechniquesDigital Filter Design and Implementation
Cited by 15,836
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Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations
Rumelhart, D. E., McClelland, J. L., & AU (1986) · The MIT Press eBooks
Neural Networks and ApplicationsCognitive Science and Education Research
Cited by 15,686
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Mastering the game of Go with deep neural networks and tree search
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., van den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al. (2016) · Nature
Artificial Intelligence in GamesArtificial Intelligence Applications
Cited by 15,612
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Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Retrieval and Classification TechniquesRadiomics and Machine Learning in Medical Imaging
Cited by 15,398
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FaceNet: A Unified Embedding for Face Recognition and Clustering
Schroff, F., Kalenichenko, D., & Philbin, J. (2015) · arXiv
Face recognition and analysisFace and Expression Recognition
Cited by 15,392
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A survey on deep learning in medical image analysis
Litjens, G., Kooi, T., Bejnordi, B. E., Setio, A. A. A., Ciompi, F., Ghafoorian, M., van der Laak, J. A. W. M., van Ginneken, B., & Sánchez, C. I. (2017) · Medical Image Analysis
Medical Image Segmentation TechniquesAdvanced Neural Network Applications
Cited by 15,332
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Learning Transferable Visual Models From Natural Language Supervision
Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al. (2021) · arXiv
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 15,293
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FaceNet: A unified embedding for face recognition and clustering
Schroff, F., Kalenichenko, D., & Philbin, J. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Face recognition and analysisFace and Expression Recognition
Cited by 15,267
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A flexible new technique for camera calibration
Zhang, Z. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Optical measurement and interference techniquesAdvanced Vision and Imaging
Cited by 15,004
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A new optimizer using particle swarm theory
Eberhart, R., & Kennedy, J. (2002) · MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science
Metaheuristic Optimization Algorithms ResearchModular Robots and Swarm Intelligence
Cited by 14,979
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Nonlinear Dimensionality Reduction by Locally Linear Embedding
Roweis, S. T., & Saul, L. K. (2000) · Science
Face and Expression RecognitionNeural Networks and Applications
Cited by 14,965
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Mining association rules between sets of items in large databases
Agrawal, R., Imieliński, T., & Swami, A. (1993) · Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Data Mining Algorithms and ApplicationsAdvanced Database Systems and Queries
Cited by 14,907
- Verified
Are we ready for autonomous driving? The KITTI vision benchmark suite
Geiger, A., Lenz, P., & Urtasun, R. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition
Advanced Vision and ImagingAutonomous Vehicle Technology and Safety
Cited by 14,897
- Verified
Convolutional Neural Networks for Sentence Classification
Kim, Y. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Topic ModelingSentiment Analysis and Opinion Mining
Cited by 14,831
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