Sciweavers

10 search results - page 1 / 2
» Conservative Visual Learning for Object Detection with Minim...
Sort
View
DAGM
2005
Springer
13 years 10 months ago
Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort
Peter M. Roth, Helmut Grabner, Danijel Skocaj, Hor...
CVPR
2009
IEEE
14 years 12 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
MM
2006
ACM
218views Multimedia» more  MM 2006»
13 years 10 months ago
SmartLabel: an object labeling tool using iterated harmonic energy minimization
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...
Wen Wu, Jie Yang
IJCV
2011
264views more  IJCV 2011»
12 years 11 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
ICCV
2007
IEEE
14 years 6 months ago
A 3D Teacher for Car Detection in Aerial Images
This paper demonstrates how to reduce the hand labeling effort considerably by 3D information in an object detection task. In particular, we demonstrate how an efficient car detec...
Stefan Kluckner, Georg Pacher, Helmut Grabner, Hor...