Anomaly Detection on MIMII DCASE2020 Challenge (test)
97.28AUCMicroNet-AD(L)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MicroNet-AD(L)Precision=8-bit weights/activations, Operations (Ops)=129M, Model Size=442KB, SRAM Memory=383KB, Target MCU=Large (L)2020.10 | 97.28 | 95.9 | |
| MBNETV2-0.5ADPrecision=unquantized FP32, Operations (Ops)=31.1M, Model Size=965KB, SRAM Memory=206KB, Target MCU=Large (L)2020.10 | 97.24 | 98.8 | |
| MicroNet-AD(M)Precision=8-bit weights/activations, Operations (Ops)=124.7M, Model Size=464KB, SRAM Memory=274KB, Target MCU=Medium (M)2020.10 | 96.22 | 94.8 | |
| MicroNet-AD(S)Precision=8-bit weights/activations, Operations (Ops)=37.5M, Model Size=253KB, SRAM Memory=114KB, Target MCU=Small (S)2020.10 | 95.35 | 71.4 | |
| Conv-AEPrecision=unquantized FP32, Operations (Ops)=578M, Model Size=4.1MB (estimated), SRAM Memory=160KB (estimated), Target MCU=ND2020.10 | 91.77 | — | |
| FC-AE(Wide)Precision=8-bit, Operations (Ops)=4.47M, Model Size=2.2MB, SRAM Memory=4.7KB (estimated), Target MCU=ND2020.10 | 87.1 | — | |
| FC-AE(Baseline)Precision=8-bit, Operations (Ops)=0.52M, Model Size=270KB, SRAM Memory=4.7KB, Target MCU=Medium (M)2020.10 | 84.76 | 10.3 |