YOLOF-Snake: An Efficient Segmentation Model for Green Object Fruit.Accurate detection and segmentation of the object fruit is the key part of orchard production measurement and automated picking.  For the green fruit segmentation, an efficient YOLOF-snake segmentation model is proposed.  The experimental results show that YOLOF-snake is sensitive to the green fruit, and the segmentation accuracy and efficiency are significantly improved. 
YOLOF-Snake
First, the ResNet101 structure is adopted as the backbone network to achieve feature extraction of the green object fruit. 
ResNet101
Then, the C5 feature maps are expanded with receptive fields and the decoder is used for classification and regression. 
C5 feature maps
Then, the C5 feature maps are expanded with receptive fields and the decoder is used for classification and regression. 
decoder
Besides, the center point in the regression box is employed to get a diamond-shaped structure and fed into an additional Deep-snake network, which is adjusted to the contours of the target fruit to achieve fast and accurate segmentation of green fruit. 
Deep-snake network