44 search results - page 1 / 9 » Learning What and How of Contextual Models for Scene Labelin... |
16
Voted
ECCV
2010
Springer
13 years 9 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 28 days 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,...
14
Voted
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...
21
Voted
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...