Semi-Supervised Adaptive Object Detection for Efficient PrecisionAgriculture
Existing supervised learning-based detectors for precision agriculturehave previously achieved high accuracy in challenging classificationtasks. However, their performance deteriorate when presented with new environmentsdue to variations in observed objects and surrounding environment.Accordingly, i...
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| Format: | Others |
| Language: | English |
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Örebro universitet, Institutionen för naturvetenskap och teknik
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-95094 |