Table 9.
Performance comparison based on the Banana Plantation dataset.
Model | Backbone | mIoU | Params (M) | FPS |
---|---|---|---|---|
DeepLabV3plus (Chen et al., 2018) | R-101-D8 | 0.9283 | 60.21 | 6.98 |
KNet (Zhang et al., 2021) | Swin-L | 0.9468 | 245 | 4.55 |
Mask2Former (Cheng et al., 2022) | Swin-L | 0.9427 | 235 | 5.09 |
PSPNet (Zhao et al., 2017) | R-50-D8 | 0.9113 | 46.60 | 11.91 |
Segformer (Xie et al., 2021) | MIT-B5 | 0.9398 | 81.97 | 6.57 |
UNet (Ronneberger et al., 2015) | UNet-S5-D16 | 0.9031 | 28.99 | 17.93 |
ALSS-YOLO-Seg | ALSSNet | 0.9272 | 1.8256 | 130.6 |