Table 1 An overview of the differing details between the models trained and tested.
From: Automated human cell classification in sparse datasets using few-shot learning
Model name | Technique | Backbone | Preprocessing | Extra training data |
|---|---|---|---|---|
Model evaluation table | ||||
AmdimNet31 | Self-supervised Metric | AmdimNet | No | Yes |
EPNet28 | Transductive Metric | WRN28-10 | No | Yes |
SimpleCNAPS26 | Metric | ResNet18 | No | Yes |
PT+MAP29 | Metric | WRN28-10 | Yes | No |
LaplacianShot30 | Metric | WRN28-10 | No | No |
S2M2R32 | Self-supervised Metric | WRN28-10 | Yes | No |
Reptile25 | Optimization | CONV4 | No | No |
MAML24 | Optimization | CONV4 | No | No |
ProtoNet27 | Metric | CONV4 | No | No |
