Abstract
Common aphids on crops are not suitable for general-purpose object detection frameworks due to their small size and the presence of occlusion. Taking this as a starting point, we fully consider the characteristics of aphid targets and propose a network called Overall-Specific Net (OS-Net) for detecting aphid targets in a manner that goes from overall to specific in a single-stage detection network. This network consists of two detection head modules. The first detection head module is responsible for detecting aphids in densely populated areas, while the second module, based on the first module, detects aphids in densely populated areas by deploying denser anchor boxes. Experimental results on our dataset show that the average accuracy can be improved by approximately 5.1% compared to the baseline network.
Publisher
Darcy & Roy Press Co. Ltd.