计算机视觉有多少分支?

之前了解过一些关于计算机视觉的知识,如人脸识别、卡尔曼滤波、SIFT等,感觉都很不一样,跟一搞CV的朋友聊天发现他并不是对这些每个领域都清楚。 想问下…
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CVPR收稿大概有以下方向,绝大部分在自动驾驶中都有涉及和应用。在自动驾驶实战中学,把多个方向学到融汇贯通是可行的。

  • 2D object recognition
  • 3D computer vision
  • 3D object recognition
  • Action and behavior recognition
  • Adversarial learning, adversarial attack and defense methods
  • Biometrics, face, gesture, body pose
  • Computational photography
  • Datasets and evaluation
  • Efficient training and inference methods for networks
  • Explainable AI, fairness, accountability, privacy, transparency and ethics in vision
  • Image and video retrieval
  • Image and video synthesis
  • Image classification
  • Low-level and physics-based vision
  • Machine learning architectures and formulations
  • Medical, biological and cell microscopy
  • Motion and tracking
  • Optimization and learning methods
  • Pose estimation
  • Representation learning, deep learning
  • Scene analysis and understanding
  • Transfer, low-shot, semi- and un- supervised learning
  • Video analysis and understanding
  • Vision + language, vision + other modalities
  • Vision applications and systems, vision for robotics and autonomous vehicles