Relaxed softmax: efficient confidence auto-calibration for safe pedestrian detection
As machine learning moves from the lab into the real world, reliability is often of paramount importance. The clearest example are safety-critical applications such as pedestrian detection in autonomous driving. Since algorithms can never be expected to be perfect in all cases, managing reliability...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
OpenReview
2018
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