248 search results - page 13 / 50 » Learning Statistical Structure for Object Detection |
NIPS
2000
15 years 1 months ago
2000
Preliminary work by the authors made use of the so-called "Manhattan world" assumption about the scene statistics of city and indoor scenes. This assumption stated that ...
126
Voted
CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
The bounding box representation employed by many popular object detection models [3, 6] implicitly assumes all pixels inside the box belong to the object. This assumption makes th...
ICPR
2004
IEEE
16 years 23 days ago
2004
IEEE
We seek a framework that addresses localization, detection and recognition of man-made objects in natural-scene images in a unified manner. We propose to model artificial structur...
CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
We present a novel discriminative-generative hybrid approach in this paper, with emphasis on application in multiview object detection. Our method includes a novel generative mode...
CLOR
2006
15 years 3 months ago
2006
We present a new class of statistical models for part-based object recognition. These models are explicitly parametrized according to the degree of spatial structure that they can ...