Multi Label Classification

Best model: SynthEnsemble

Best model: CFT (ensemble) Macao Polytechnic University

Best model: DensNet121

Best model: ResNet50 (fine-tuning)

Best model: MRNet

Best model: ADDS(ViT-L-336, resolution 1344)

Best model: Q2L-CvT(resolution 384, ImageNet-21K pretrained)

Best model: TResNet-L

Best model: Q2L-CvT(ImageNet-21K pretrained, resolution 384)

Best model: Q2L-TResL(448 resolution)