Basic level scene understanding: from labels to structure and beyond
An early goal of computer vision was to build a system that could automatically understand a 3D scene just by looking. This requires not only the ability to extract 3D information from image information alone, but also to handle the large variety of different environments that comprise our visual wo...
Main Authors: | Xiao, Jianxiong, Russell, Bryan C., Hays, James, Ehinger, Krista A., Oliva, Aude, Torralba, Antonio |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Association for Computing Machinery (ACM)
2014
|
Online Access: | http://hdl.handle.net/1721.1/90941 https://orcid.org/0000-0003-4915-0256 |
Similar Items
-
Basic level scene understanding: categories, attributes and structures
by: Patterson, Genevieve, et al.
Published: (2018) -
SUN Database: Exploring a Large Collection of Scene Categories
by: Xiao, Jianxiong, et al.
Published: (2017) -
SUN database: Large-scale scene recognition from abbey to zoo
by: Xiao, Jianxiong, et al.
Published: (2011) -
Recognizing scene viewpoint using panoramic place representation
by: Xiao, Jianxiong, et al.
Published: (2014) -
Estimating scene typicality from human ratings and image features
by: Ehinger, Krista A., et al.
Published: (2012)