Cardiac Video Classification on cine CMR dataset
89.9AccuracyShapeFuse
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| ShapeFuseRegistration Network=TLRN, Backbone=ResNet2026.07 | 89.9 | 90.1 | |
| ShapeFuseRegistration Network=VM, Backbone=ResNet2026.07 | 88.8 | 90.2 | |
| BilinearRegistration Network=TLRN, Backbone=ResNet2026.07 | 87.6 | 88.4 | |
| ShapeFuseRegistration Network=TLRN, Backbone=EfficientNet2026.07 | 87.6 | 88.4 | |
| ShapeFuseRegistration Network=TLRN, Backbone=DenseNet2026.07 | 87.6 | 89.1 | |
| ShapeFuseRegistration Network=VM, Backbone=ViT2026.07 | 86.9 | 85.8 | |
| WeightedRegistration Network=TLRN, Backbone=EfficientNet2026.07 | 86.5 | 88.2 | |
| ShapeFuseRegistration Network=TLRN, Backbone=ViT2026.07 | 86.2 | 85 | |
| BilinearRegistration Network=TLRN, Backbone=DenseNet2026.07 | 85.5 | 87.1 | |
| ShapeFuseRegistration Network=VM, Backbone=DenseNet2026.07 | 85.4 | 87.1 | |
| AddRegistration Network=TLRN, Backbone=ResNet2026.07 | 85.4 | 87.1 | |
| WeightedRegistration Network=TLRN, Backbone=ResNet2026.07 | 85.4 | 87.6 | |
| BilinearRegistration Network=TLRN, Backbone=EfficientNet2026.07 | 85.4 | 87.4 | |
| AttentionRegistration Network=TLRN, Backbone=DenseNet2026.07 | 85.4 | 84.6 | |
| WeightedRegistration Network=VM, Backbone=ViT2026.07 | 85.2 | 82.7 | |
| BilinearRegistration Network=VM, Backbone=ViT2026.07 | 85.2 | 83.4 | |
| WeightedRegistration Network=TLRN, Backbone=ViT2026.07 | 85.2 | 84.8 | |
| AttentionRegistration Network=VM, Backbone=DenseNet2026.07 | 84.3 | 86.5 | |
| ShapeFuseRegistration Network=VM, Backbone=EfficientNet2026.07 | 84.3 | 85.7 | |
| ConcatRegistration Network=TLRN, Backbone=EfficientNet2026.07 | 84.3 | 86 | |
| AttentionRegistration Network=TLRN, Backbone=ResNet2026.07 | 84.2 | 85.7 | |
| AttentionRegistration Network=TLRN, Backbone=EfficientNet2026.07 | 84.2 | 84.4 | |
| BilinearRegistration Network=TLRN, Backbone=ViT2026.07 | 84.1 | 83.7 | |
| WeightedRegistration Network=VM, Backbone=ResNet2026.07 | 83.2 | 85.7 | |
| BilinearRegistration Network=VM, Backbone=ResNet2026.07 | 83.2 | 85.7 | |
| AddRegistration Network=TLRN, Backbone=EfficientNet2026.07 | 83.1 | 85.7 | |
| AddRegistration Network=TLRN, Backbone=ViT2026.07 | 83.1 | 84.8 | |
| ConcatRegistration Network=TLRN, Backbone=DenseNet2026.07 | 83.1 | 86 | |
| AttentionRegistration Network=TLRN, Backbone=ViT2026.07 | 83.1 | 82 | |
| ConcatRegistration Network=VM, Backbone=ViT2026.07 | 83 | 82.4 | |
| AttentionRegistration Network=VM, Backbone=ViT2026.07 | 83 | 84.4 | |
| AddRegistration Network=VM, Backbone=DenseNet2026.07 | 82 | 84.9 | |
| BilinearRegistration Network=VM, Backbone=EfficientNet2026.07 | 82 | 84.6 | |
| AttentionRegistration Network=VM, Backbone=EfficientNet2026.07 | 82 | 85.2 | |
| AddRegistration Network=TLRN, Backbone=DenseNet2026.07 | 82 | 85.2 | |
| ConcatRegistration Network=TLRN, Backbone=ResNet2026.07 | 82 | 84 | |
| WeightedRegistration Network=TLRN, Backbone=DenseNet2026.07 | 82 | 85.2 | |
| AddRegistration Network=VM, Backbone=ViT2026.07 | 81.9 | 80.8 | |
| ShapeRegistration Network=VM2026.07 | 80.9 | 82.5 | |
| ConcatRegistration Network=VM, Backbone=EfficientNet2026.07 | 80.9 | 84.1 | |
| AddRegistration Network=VM, Backbone=ResNet2026.07 | 80.7 | 88.4 | |
| ConcatRegistration Network=TLRN, Backbone=ViT2026.07 | 80.7 | 79 | |
| ImageBackbone=DenseNet2026.07 | 79.7 | 80.2 | |
| ShapeRegistration Network=TLRN2026.07 | 79.7 | 83.6 | |
| ImageBackbone=EfficientNet2026.07 | 78.7 | 82.2 | |
| AddRegistration Network=VM, Backbone=EfficientNet2026.07 | 78.7 | 82.2 | |
| WeightedRegistration Network=VM, Backbone=EfficientNet2026.07 | 78.7 | 81.6 | |
| BilinearRegistration Network=VM, Backbone=DenseNet2026.07 | 78.7 | 82.9 | |
| AttentionRegistration Network=VM, Backbone=ResNet2026.07 | 78.7 | 80.8 | |
| ImageBackbone=ViT2026.07 | 78.6 | 77.9 | |
| ConcatRegistration Network=VM, Backbone=DenseNet2026.07 | 77.5 | 81.8 | |
| ImageBackbone=ResNet2026.07 | 76.4 | 75.1 | |
| ConcatRegistration Network=VM, Backbone=ResNet2026.07 | 76.4 | 80 | |
| WeightedRegistration Network=VM, Backbone=DenseNet2026.07 | 75.3 | 80.4 |