12 search results - page 1 / 3 » Learning viewpoint invariant object representations using a ... |
BC
2005
13 years 4 months ago
2005
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
This work proposes a learning method for deep architectures that takes advantage of sequential data, in particular from the temporal coherence that naturally exists in unlabeled v...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Viewpoint invariant pedestrian recognition is an important yet under-addressed problem in computer vision. This is likely due to the difficulty in matching two objects with unknown...
WAPCV
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
BC
2006
13 years 4 months ago
2006
Abstract The cerebral cortex utilizes spatiotemporal continuity in the world to help build invariant representations. In vision, these might be representations of objects. The temp...