ML Research Wiki / Benchmarks / Semantic Segmentation / ImageNet-S

ImageNet-S

Semantic Segmentation Benchmark

Performance Over Time

📊 Showing 20 results | 📏 Metric: mIoU (val)

Top Performing Models

Rank Model Paper mIoU (val) Date Code
1 TEC (ViT-B/16, 224x224, SSL+FT, mmseg) Towards Sustainable Self-supervised Learning 63.20 2022-10-20 📦 sail-sg/tec
2 SERE (ViT-B/16, 100ep, 224x224, SSL+FT) SERE: Exploring Feature Self-relation for Self-supervised Transformer 63.00 2022-06-10 📦 MCG-NKU/SERE
3 TEC (ViT-B/16, 224x224, SSL+FT) Towards Sustainable Self-supervised Learning 62.00 2022-10-20 📦 sail-sg/tec
4 MAE (ViT-B/16, 224x224, SSL+FT, mmseg) Masked Autoencoders Are Scalable Vision Learners 61.60 2021-11-11 📦 facebookresearch/mae 📦 lightly-ai/lightly 📦 open-mmlab/mmselfsup
5 MAE (ViT-B/16, 224x224, SSL+FT) Masked Autoencoders Are Scalable Vision Learners 61.00 2021-11-11 📦 facebookresearch/mae 📦 lightly-ai/lightly 📦 open-mmlab/mmselfsup
6 SERE (ViT-S/16, 100ep, 224x224, SSL+FT, mmseg) SERE: Exploring Feature Self-relation for Self-supervised Transformer 59.40 2022-06-10 📦 MCG-NKU/SERE
7 SERE (ViT-S/16, 100ep, 224x224, SSL+FT) SERE: Exploring Feature Self-relation for Self-supervised Transformer 58.90 2022-06-10 📦 MCG-NKU/SERE
8 RF-ConvNext-Tiny (rfmerge, P4, 224x224, SUP) RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks 51.30 2022-06-14 📦 ShangHua-Gao/G2L-search 📦 ShangHua-Gao/RFNext
9 RF-ConvNext-Tiny (rfmultiple, P4, 224x224, SUP) RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks 50.80 2022-06-14 📦 ShangHua-Gao/G2L-search 📦 ShangHua-Gao/RFNext
10 RF-ConvNext-Tiny (rfsingle, P4, 224x224, SUP) RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks 50.70 2022-06-14 📦 ShangHua-Gao/G2L-search 📦 ShangHua-Gao/RFNext

All Papers (20)

Towards Sustainable Self-supervised Learning

2022
TEC (ViT-B/16, 224x224, SSL+FT, mmseg)

Towards Sustainable Self-supervised Learning

2022
TEC (ViT-B/16, 224x224, SSL, mmseg)