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Open set recognition through Monte Carlo dropout-based uncertainty
Open set recognition has received much attention in recent years. In this paper, we present a novel open set recognition method that is able to obtain improved recognition by applying Monte Carlo Dropout to capture uncertainty in order to yield high quality predicted probabilities. Experimental resu...
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| Main Authors: | , , |
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| Format: | Default Article |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/14222522.v1 |
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