Unsupervised learning of object frames by dense equivariant image labelling

James Thewlis, Hakan Bilen, Andrea Vedaldi

Nov-21-2025, 12:57:00 GMT–Neural Information Processing Systems

Humans can easily construct mental models of complex 3D objects and object categories from visual observations. This is remarkable because the dependency between an object's appearance

machine learning, object-oriented architecture, proc, (17 more...)

Neural Information Processing Systems

Nov-21-2025, 12:57:00 GMT

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Country:
- North America > United States
  - California > Los Angeles County > Long Beach (0.04)
- Europe > United Kingdom
  - England > Oxfordshire > Oxford (0.04)
- Asia > Japan
  - Honshū > Chūbu > Ishikawa Prefecture > Kanazawa (0.04)

Genre:
- Research Report (0.46)

Technology:
- Information Technology
  - Sensing and Signal Processing > Image Processing (1.00)
  - Artificial Intelligence
    - Vision (1.00)
    - Representation & Reasoning > Object-Oriented Architecture (0.89)
    - Machine Learning
      - Neural Networks (1.00)
      - Unsupervised or Indirectly Supervised Learning (0.65)

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Unsupervised learning of object frames by dense equivariant image labelling
Unsupervised learning of object frames by dense equivariant image labelling

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