Anitha Ramachandran, Sendhil Kumar K.S.*
CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 827-842, 2024, DOI:10.32604/cmc.2024.054768
- 15 October 2024
Abstract Research on panicle detection is one of the most important aspects of paddy phenotypic analysis. A phenotyping method that uses unmanned aerial vehicles can be an excellent alternative to field-based methods. Nevertheless, it entails many other challenges, including different illuminations, panicle sizes, shape distortions, partial occlusions, and complex backgrounds. Object detection algorithms are directly affected by these factors. This work proposes a model for detecting panicles called Border Sensitive Knowledge Distillation (BSKD). It is designed to prioritize the preservation of knowledge in border areas through the use of feature distillation. Our feature-based knowledge distillation method More >
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