A Large-Scale Benchmark for Food Image Segmentation

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Benchmark Model Rank Results
semantic-segmentation-on-foodseg103SeTR-Naive (ReLeM-ViT-16/B)#3mIoU: 43.9
semantic-segmentation-on-foodseg103CCNet (ReLeM-ResNet-50)#6mIoU: 36.8

Rank counts only results with a code link.