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IJCV
2008
226views more  IJCV 2008»
13 years 7 months ago
LabelMe: A Database and Web-Based Tool for Image Annotation
We seek to build a large collection of images with ground truth labels to be used for object detection and recognition research. Such data is useful for supervised learning and qu...
Bryan C. Russell, Antonio Torralba, Kevin P. Murph...
ICIP
2006
IEEE
14 years 9 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
ICPR
2002
IEEE
14 years 19 days ago
Graphics Recognition from Binary Images: One Step or Two Steps
Recognizing graphic objects from binary images is an important task in many real-life applications. Generally, there are two ways to do the graphics recognition: onestep methods a...
Jiqiang Song, Min Cai, Michael R. Lyu, Shijie Cai
ECCV
2008
Springer
14 years 9 months ago
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...
GBRPR
2005
Springer
14 years 1 months ago
Coarse-to-Fine Object Recognition Using Shock Graphs
Shock graphs have emerged as a powerful generic 2-D shape representation. However, most approaches typically assume that the silhouette has been correctly segmented. In this paper,...
Aurelie Bataille, Sven J. Dickinson