A modified DeepLabV3 with a dual atrous separable convolution module and a skip connection achieves 47.17 mIoU on Agriculture-Vision with 6.32 GFLOPs, outperforming its baseline and matching heavier transformer models.
Aaformer: a multi-modal transformer network for aerial agricultural images
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Dual Atrous Separable Convolution for Improving Agricultural Semantic Segmentation
A modified DeepLabV3 with a dual atrous separable convolution module and a skip connection achieves 47.17 mIoU on Agriculture-Vision with 6.32 GFLOPs, outperforming its baseline and matching heavier transformer models.