most citedReducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving

45 citations · 45 across the 1 of their papers we have counts for

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1 paper

cs.LG2020★ 45 cited

Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving

Jinhan Kim, Jeongil Ju, Robert Feldt +1

Deep Neural Networks (DNNs) are rapidly being adopted by the automotive industry, due to their impressive performance in tasks that are essential for autonomous driving. Object seg…