RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions

Oct-10-2025, 16:49:43 GMT–Neural Information Processing Systems

We propose a method for metric-scale monocular depth estimation. Inferring depth from a single image is an ill-posed problem due to the loss of scale from perspective projection during the image formation process.

machine learning, natural language, nyuv2, (17 more...)

Neural Information Processing Systems

Oct-10-2025, 16:49:43 GMT

Conferences PDF

Country:
- Asia > Middle East
  - Israel (0.04)
- Europe
  - Italy > Tuscany
    - Florence (0.04)
  - Netherlands > North Holland
    - Amsterdam (0.04)
- North America > United States
  - California > Los Angeles County > Los Angeles (0.14)

Genre:
- Research Report > Experimental Study (0.93)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning
      - Neural Networks (0.67)
      - Statistical Learning (0.46)
    - Natural Language (1.00)
    - Vision > Image Understanding (0.69)
  - Sensing and Signal Processing > Image Processing (1.00)

Duplicate Docs Excel Report

Title
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions

Similar Docs Excel Report more

Title	Similarity	Source
None found