Colon Tissue Classification on Kather (test)
83.9AccuracyMTL+MIC
Evaluation Results
| Method | Links | |
|---|---|---|
| MTL+MICPre-training method=ARCH + Multi-task, Layer selection=Penultimate, Decoder complexity=Linear2021.03 | 83.9 | |
| MICPre-training method=ARCH, Layer selection=Penultimate, Decoder complexity=Linear2021.03 | 81.7 | |
| MTLPre-training method=Multi-task, Layer selection=Penultimate, Decoder complexity=Linear2021.03 | 80.5 | |
| I-BPre-training method=ImageNet, Layer selection=Best, Decoder complexity=Optimal2021.03 | 79.9 | |
| SSPre-training method=Self-supervised2021.03 | 77.4 | |
| MTL+MICPre-training method=ARCH + Multi-task2021.03 | 68.1 | |
| I-L-OPre-training method=ImageNet, Layer selection=Best, Decoder complexity=Linear2021.03 | 65.7 | |
| SSPre-training method=Self-supervised2021.03 | 64.5 | |
| MICPre-training method=ARCH2021.03 | 64.5 | |
| MTLPre-training method=Multi-task2021.03 | 64 | |
| I-BPre-training method=ImageNet2021.03 | 62.3 | |
| I-LPre-training method=ImageNet2021.03 | 61.4 | |
| I-L-OPre-training method=ImageNet2021.03 | 61.4 | |
| I-LPre-training method=ImageNet, Layer selection=Penultimate, Decoder complexity=Linear2021.03 | 60.6 |