99 search results - page 4 / 20 » Formulating Semantic Image Annotation as a Supervised Learni... |
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
EMNLP
2009
13 years 5 months ago
2009
Unknown lexical items present a major obstacle to the development of broadcoverage semantic role labeling systems. We address this problem with a semisupervised learning approach ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Conventional approaches to automatic image annotation usually suffer from two problems: (1) They cannot guarantee a good semantic coherence of the annotated words for each image, ...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...