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Models/WaferSegClassNet

WaferSegClassNet

Reported on 6 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Medical2 results

Semantic SegmentationonMixedWM38
Dice· 2022-07-03
0.9999
SOTA
WaferSegClassNet -- A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects arXiv:2207.00960
Semantic SegmentationonMixedWM38
Mean IoU· 2022-07-03
0.9999
SOTA
WaferSegClassNet -- A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects arXiv:2207.00960

Methodology2 results

ClassificationonMixedWM38
Accuracy· 2022-07-03
0.982
SOTA
WaferSegClassNet -- A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects arXiv:2207.00960
ClassificationonMixedWM38
MCC· 2022-07-03
0.9815
SOTA
WaferSegClassNet -- A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects arXiv:2207.00960

Audio2 results

10-shot image generationonMixedWM38
Dice· 2022-07-03
0.9999
SOTA
WaferSegClassNet -- A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects arXiv:2207.00960
10-shot image generationonMixedWM38
Mean IoU· 2022-07-03
0.9999
SOTA
WaferSegClassNet -- A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects arXiv:2207.00960