摘要
In modern smart orchards,fruit detection models based on deep learning require expensive dataset labeling work to support the construction of detection models,resulting in high model application costs.Our previous work combined generative adversarial networks(GANs)and pseudolabeling methods to transfer labels from one specie to another to save labeling costs.However,only the color and texture features of images can be migrated,which still needs improvement in the accuracy of the data labeling.
基金
This study was partially supported by the National Natural Science Foundation of China(NSFC)Program U19A2061,International Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences(CAASTIP)
Japan Science and Technology Agency(JST)AIP Accel-eration Research JPMJCR21U3.
