Cascaded Classification Models: Combining Models for Holistic Scene Understanding
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region labeling, and geometric reasoning. The last few decades have seen great progress in tackling each of these problems in isolation. Only recently have researchers returned to the difficult task of considering them jointly. In this work, we consider learning a set of related models in such that they both solve their own...[Show more]
|Collections||ANU Research Publications|
|Source:||Advances in Neural Information Processing Systems 21|
|01_Geremy_Cascaded_Classification_2008.pdf||1.31 MB||Adobe PDF||Request a copy|
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