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Integrator Perception with Recurrent Multi-Task Neural Networks

Abstract:

Modern discriminative predictors have been shown to match natural intelligences in specific perceptual tasks in image classification, object and part detection, boundary extraction, etc. However, a major advantage that natural intelligences still have is that they work well for all perceptual problems together, solving them efficiently and coherently in an integrated manner. In order to capture some of these advantages in machine perception, we ask two questions: whether deep neural networks ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Department:
Oxford, MPLS, Engineering Science
Role:
Author
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Department:
Oxford, MPLS, Engineering Science
Role:
Author
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Grant:
Starting Grant: Integrated and Detailed Image Understanding (EP/L024683/1)
Publisher:
Neural Information Processing Systems Foundation Publisher's website
Publication date:
2016-12-05
Acceptance date:
2016-08-12
Pubs id:
pubs:656024
URN:
uri:eacb854e-4bee-4a3e-95e7-1ff88417ca21
UUID:
uuid:eacb854e-4bee-4a3e-95e7-1ff88417ca21
Local pid:
pubs:656024

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