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

Genre:
- Research Report (0.46)

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

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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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