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About this paper
Vahid Jebraeeli, Hamid Krim, Keisuke Fujii
REASON uses a fast classifier to decide which images need a second model to classify additional evidence. A confidence threshold sends the least-confident half of inputs to that model, which may see the degraded image again or a cleaner view. On Aircraft, the system reaches 77.85% accuracy at 79.33 GMAC per input, but acquisition costs are excluded and a retrained medium model performs better on three of four benchmarks.
Summary by alphaXiv.
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