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Elisa Laurenti et al.
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Muthu Subash Kavitha et al.
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Yishai Avior et al.
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ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky et al.
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Derwood Pamphilon et al.
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Vincenzo Paduano et al.
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Eyitayo S. Fakunle et al.
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Jun Seita et al.
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CELL (2000)