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'Significant' objects contribute greatly to scene recognition.
Scene Movement versus observer movement in scene recognition.
While they developed the most accurate scene recognition system, Profs.
Our results indicate that the proposed approach outperforms several state-of-the-art techniques for scene recognition.
Our findings provide an understanding of the neural mechanism of scene recognition.
Scene recognition involves complex reasoning from low-level local features to high-level scene categories.
Among computer science researchers, the problem known as "scene recognition" has received relatively little attention.
Antonio Torralba and Aude Oliva have shown how object recognition along with scene recognition could be mutually reinforcing.
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The effects applied to the images post-scene recognition are subtle, but tend to work well.
Indeed, in cases when observers are looking for the presence of a particular object in natural scenes recognition can be ultra-rapid.
The work implies that at the very least, scene-recognition and object-recognition systems could work in concert.
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