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CVPR
2008
IEEE
10 years 10 months ago
Scene classification with low-dimensional semantic spaces and weak supervision
A novel approach to scene categorization is proposed. Similar to previous works of [11, 15, 3, 12], we introduce an intermediate space, based on a low dimensional semantic "t...
Nikhil Rasiwasia, Nuno Vasconcelos
MTA
2016
59views Hardware» more  MTA 2016»
4 years 4 months ago
Weakly-supervised region annotation for understanding scene images
Hao Wang, Tong Lu, Yiming Wang, Palaiahnakote Shiv...
CVPR
2009
IEEE
11 years 3 months ago
Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
Fei-Fei Li 0002, Li-Jia Li, Richard Socher
CVPR
2008
IEEE
10 years 2 months ago
Scene understanding with discriminative structured prediction
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
Jinhui Yuan, Jianmin Li, Bo Zhang
ICCV
2011
IEEE
8 years 8 months ago
Understanding Scenes on Many Levels
This paper presents a framework for image parsing with multiple label sets. For example, we may want to simultaneously label every image region according to its basiclevel object ...
Joseph Tighe, Svetlana Lazebnik
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