EncNet

Reported on 4 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical2 results

Semantic SegmentationonADE20K
Test Score· 2018-03-23
55.67
best: 62.8 (Swin-L (UperNet, ImageNet-22k pretrain))
SOTA
Context Encoding for Semantic Segmentation arXiv:1803.08904
Semantic SegmentationonADE20K
Validation mIoU· 2018-03-23
44.65
best: 63.6 (ViT-P (InternImage-H))
Context Encoding for Semantic Segmentation arXiv:1803.08904

Audio2 results

10-shot image generationonADE20K
Test Score· 2018-03-23
55.67
best: 62.8 (Swin-L (UperNet, ImageNet-22k pretrain))
SOTA
Context Encoding for Semantic Segmentation arXiv:1803.08904
10-shot image generationonADE20K
Validation mIoU· 2018-03-23
44.65
best: 63.6 (ViT-P (InternImage-H))
Context Encoding for Semantic Segmentation arXiv:1803.08904