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Deciphering image contrast in object classification deep networks.

Arash Akbarinia1, Raquel Gil-Rodríguez1

  • 1Department of General Psychology, Justus-Liebig University, D-35394 Giessen, Germany.

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PubMed
Summary
This summary is machine-generated.

Deep neural networks (DNNs) learn to handle image contrast variations by encoding this low-level feature in shallow layers. Specific kernels significantly impact contrast invariance, with edges identified as a distinct internal visual feature.

Failed At:

2026-06-19T13:38:36.067575+00:00

Keywords:
Artificial neural networkDeep learningImage contrastMachine vision

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