44 search results - page 1 / 9 » Learning What and How of Contextual Models for Scene Labelin... |
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
—Inexpensive RGB-D cameras that give an RGB image together with depth data have become widely available. We use this data to build 3D point clouds of a full scene. In this paper,...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
CVPR
2011
IEEE
12 years 8 months ago
2011
IEEE
Simultaneously segmenting and labeling images is a fundamental problem in Computer Vision. In this paper, we introduce a hierarchical CRF model to deal with the problem of labelin...