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👁️ Computer Vision and Pattern Recognition

1,025 papers · page 1 of 11 · 1–25 · the most cited first · all shelves

Computer Vision and Pattern Recognition is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Multimodal Machine Learning Applications», «Advanced Neural Network Applications», «Handwritten Text Recognition Techniques».

 Papers

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  1. Very Deep Convolutional Networks for Large-Scale Image RecognitionKaren Simonyan, Andrew Zisserman2014 · 72,803 citations
  2. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksShaoqing Ren, Kaiming He, Ross Girshick, et al.2015 · 64,743 citations
  3. Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsZe Liu, Yutong Lin, Yue Cao, et al.2021 · 33,826 citations
  4. Rich feature hierarchies for accurate object detection and semantic segmentationRoss Girshick, Jeff Donahue, Trevor Darrell, et al.2013 · 31,715 citations
  5. PyTorch: An Imperative Style, High-Performance Deep Learning LibraryAdam Paszke, Sam Gross, Francisco Massa, et al.2019 · 18,392 citations
  6. End-to-End Object Detection with TransformersNicolas Carion, Francisco Massa, Gabriel Synnaeve, et al.2020 · 16,761 citations
  7. Convolutional Neural Networks for Sentence ClassificationYoon Kim2014 · 16,218 citations
  8. Transformers: State-of-the-Art Natural Language ProcessingThomas Wolf, Lysandre Debut, Victor Sanh, et al.2020 · 15,591 citations
  9. Distilling the Knowledge in a Neural NetworkGeoffrey Hinton, Oriol Vinyals, Jeff Dean2015 · 15,026 citations
  10. Momentum Contrast for Unsupervised Visual Representation LearningKaiming He, Haoqi Fan, Yuxin Wu, et al.2019 · 13,143 citations
  11. FaceNet: A Unified Embedding for Face Recognition and ClusteringFlorian Schroff, Dmitry Kalenichenko, James Philbin2015 · 11,939 citations
  12. A Comprehensive Survey on Graph Neural NetworksZonghan Wu, Shirui Pan, Fengwen Chen, et al.2019 · 10,295 citations
  13. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision ApplicationsAndrew G. Howard, Menglong Zhu, Bo Chen, et al.2017 · 9,633 citations
  14. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed SystemsMartín Abadi, Ashish Agarwal, Paul Barham, et al.2016 · 9,453 citations
  15. Graph Attention NetworksPetar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.2017 · 8,996 citations
  16. Semi-Supervised Classification with Graph Convolutional NetworksThomas N. Kipf, Max Welling2016 · 8,809 citations
  17. Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,295 citations
  18. A Simple Framework for Contrastive Learning of Visual RepresentationsTing Chen, Simon Kornblith, Mohammad Norouzi, et al.2020 · 7,774 citations
  19. Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionKelvin Xu, Jimmy Ba, Ryan Kiros, et al.2015 · 7,483 citations
  20. UMAP: Uniform Manifold Approximation and Projection for Dimension ReductionLeland McInnes, John Healy, James Melville2018 · 7,136 citations
  21. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial NetworksAlec Radford, Luke Metz, Soumith Chintala2015 · 6,519 citations
  22. Learning Transferable Architectures for Scalable Image RecognitionBarret Zoph, Vijay Vasudevan, Jonathon Shlens, et al.2017 · 6,518 citations
  23. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationRamprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, et al.2016 · 6,327 citations
  24. Emerging Properties in Self-Supervised Vision TransformersMathilde Caron, Hugo Touvron, Ishan Misra, et al.2021 · 5,910 citations
  25. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image AnnotationsRanjay Krishna, Yuke Zhu, Oliver Groth, et al.2016 · 5,747 citations

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