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Models/PEFNet

PEFNet

Reported on 8 benchmarks across 3 tasks · 1 paper · 2 SOTA

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

Medical6 results

Medical Image SegmentationonEndotect Polyp Segmentation Challenge Dataset
DSC· 2023-01-17
0.8565
SOTA
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation arXiv:2301.06673
Medical Image SegmentationonEndotect Polyp Segmentation Challenge Dataset
mIoU· 2023-01-17
0.7967
SOTA
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation arXiv:2301.06673
Medical Image SegmentationonKvasir-SEG
mIoU· 2023-01-17
0.8163
best: 0.9065 (EffiSegNet-B5)
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation arXiv:2301.06673
Medical Image SegmentationonKvasir-SEG
mean Dice· 2023-01-17
0.8818
best: 0.9502 (DUCK-Net)
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation arXiv:2301.06673
Semantic SegmentationonKvasir-SEG
mDice· 2023-01-17
0.8818
best: 0.9258 (PVT-CASCADE)
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation arXiv:2301.06673
Semantic SegmentationonKvasir-SEG
mIoU· 2023-01-17
0.8163
best: 0.891 (SSFormer-S + PRN)
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation arXiv:2301.06673

Audio2 results

10-shot image generationonKvasir-SEG
mDice· 2023-01-17
0.8818
best: 0.9258 (PVT-CASCADE)
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation arXiv:2301.06673
10-shot image generationonKvasir-SEG
mIoU· 2023-01-17
0.8163
best: 0.891 (SSFormer-S + PRN)
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation arXiv:2301.06673