Multi Label Classification

Bestes Modell: SynthEnsemble

Bestes Modell: CFT (ensemble) Macao Polytechnic University

Bestes Modell: DensNet121

Bestes Modell: ResNet50 (fine-tuning)

Bestes Modell: MRNet

Bestes Modell: ADDS(ViT-L-336, resolution 1344)

Bestes Modell: Q2L-CvT(resolution 384, ImageNet-21K pretrained)

Bestes Modell: TResNet-L

Bestes Modell: Q2L-CvT(ImageNet-21K pretrained, resolution 384)

Bestes Modell: Q2L-TResL(448 resolution)