General Purpose Models: Expectations About The Unexpected
Proceedings of the Fourth International Joint Conference on Artificial Intelligence. Visual Information Processing. Pages 716-720.
Abstract
How can computer vision systems be designed to handle unfamiliar or unexpected sc~nes? Many of the current systems cope qu~te well with limited visual worlds, by mak~ng use of specialized knowledge about these worlds. But if we want to expand t~ese systems to handle a wide range of v7sual domains, it will not be enough to s~mply employ a large number of specialized models. It will also be important to make use of what might be called "general-purpose models." Such models can be used to suggest reasonable descriptions for a given scene, e.g., in terms of ~eatures or regions or groups of these, ~n the absence of specific context.
@inproceedings{ijcai1975p113,
title = {General Purpose Models: Expectations About The Unexpected},
author = {Zucker, Steven W. and Rosenfeld, Azriel and Davis, Larry S.},
booktitle = {Proceedings of the Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-75}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Patrick Winston and Carl Hewitt},
pages = {716--720},
year = {1975},
note = {Visual Information Processing},
url = {https://ijcai.org/proceedings/1975/113},
}
TY - CPAPER TI - General Purpose Models: Expectations About The Unexpected AU - Zucker, Steven W. AU - Rosenfeld, Azriel AU - Davis, Larry S. T2 - Proceedings of the Fourth International Joint Conference on Artificial Intelligence, IJCAI-75 PB - International Joint Conferences on Artificial Intelligence PY - 1975 SP - 716 EP - 720 UR - https://ijcai.org/proceedings/1975/113 ER -Copied
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