ML Research Wiki / Benchmarks / Semantic Segmentation / FoodSeg103

FoodSeg103

Semantic Segmentation Benchmark

Performance Over Time

📊 Showing 7 results | 📏 Metric: mIoU

Top Performing Models

Rank Model Paper mIoU Date Code
1 FoodSAM 📚 FoodSAM: Any Food Segmentation 46.40 2023-08-11 📦 jamesjg/foodsam
2 SeTR-MLA (ViT-16/B) 📚 Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers 45.10 2020-12-31 📦 PaddlePaddle/PaddleSeg 📦 BR-IDL/PaddleViT 📦 fudan-zvg/SETR 📦 gupta-abhay/setr-pytorch 📦 920232796/setr-pytorch
3 SeTR-Naive (ReLeM-ViT-16/B) 📚 A Large-Scale Benchmark for Food Image Segmentation 43.90 2021-05-12 📦 LARC-CMU-SMU/FoodSeg103-Benchmark-v1 📦 XiongweiWu/FoodSeg103-Benchmark-v1
4 Swin-Transformer (Swin-Small) 📚 Swin Transformer: Hierarchical Vision Transformer using Shifted Windows 41.60 2021-03-25 📦 huggingface/transformers 📦 rwightman/pytorch-image-models 📦 open-mmlab/mmdetection
5 SeTR-Naive (ViT-16/B) 📚 Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers 41.30 2020-12-31 📦 PaddlePaddle/PaddleSeg 📦 BR-IDL/PaddleViT 📦 fudan-zvg/SETR 📦 gupta-abhay/setr-pytorch 📦 920232796/setr-pytorch
6 CCNet (ReLeM-ResNet-50) 📚 A Large-Scale Benchmark for Food Image Segmentation 36.80 2021-05-12 📦 LARC-CMU-SMU/FoodSeg103-Benchmark-v1 📦 XiongweiWu/FoodSeg103-Benchmark-v1
7 CCNet (ResNet-50) 📚 CCNet: Criss-Cross Attention for Semantic Segmentation 35.50 2018-11-28 📦 open-mmlab/mmsegmentation 📦 speedinghzl/CCNet 📦 mindspore-courses/External-Attention-MindSpore 📦 justld/CCNet_paddle

All Papers (7)