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10 Best computer vision pattern recognitions of 2026

Explore top picks
  • Best Choice

    1

    Large Vision-Language Models: Pre-training, Prompting, and Applications (Advances in Computer Vision and Pattern Recognition)
    Springer

    Large Vision-Language Models: Pre-training, Prompting, and Applications (Advances in Computer Vision and Pattern Recognition)

    9.6
    Exceptional
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  • Value for Money

    2

    Autonomous Driving Perception: Fundamentals and Applications (Advances in Computer Vision and Pattern Recognition)
    Springer

    Autonomous Driving Perception: Fundamentals and Applications (Advances in Computer Vision and Pattern Recognition)

    9.5
    Excellent

  • 3

    Pattern Recognition and Computer Vision: Autonomous Driving, Surveillance, Augmented Reality, Robotics, Medical Imaging
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    Pattern Recognition and Computer Vision: Autonomous Driving, Surveillance, Augmented Reality, Robotics, Medical Imaging

    9.3
    Excellent

  • 4

    Pattern Recognition and Machine Learning (Information Science and Statistics)
    Springer

    Pattern Recognition and Machine Learning (Information Science and Statistics)

    9.1
    Excellent

  • 5

    Design Patterns: Elements of Reusable Object-Oriented Software
    Gamma, Erich/ Helm, Richard/ Johnson, Ralph/ Vlissides, John

    Design Patterns: Elements of Reusable Object-Oriented Software

    9.0
    Excellent
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  • 6

    Pattern Recognition and Machine Learning (Information Science and Statistics)
    Springer

    Pattern Recognition and Machine Learning (Information Science and Statistics)

    8.8
    Very Good

  • 7

    Autonomous Intelligent Vehicles: Theory, Algorithms, and Implementation (Advances in Computer Vision and Pattern Recognition)
    Springer

    Autonomous Intelligent Vehicles: Theory, Algorithms, and Implementation (Advances in Computer Vision and Pattern Recognition)

    8.6
    Very Good

  • 8

    Pattern Recognition
    Academic Press

    Pattern Recognition

    8.5
    Good

  • 9

    Deep Learning through Sparse and Low-Rank Modeling (Computer Vision and Pattern Recognition)
    Academic Press

    Deep Learning through Sparse and Low-Rank Modeling (Computer Vision and Pattern Recognition)

    8.3
    Good

  • 10

    Foundations of Computer Vision (Adaptive Computation and Machine Learning series)
    The MIT Press

    Foundations of Computer Vision (Adaptive Computation and Machine Learning series)

    8.2
    Good