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SotA/Methodology/Few-Shot Learning/PASCAL-5i (1-Shot)

Few-Shot Learning on PASCAL-5i (1-Shot)

Metric: learnable parameters (million) (higher is better)

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#Model↕learnable parameters (million)▼AugmentationsPaperDate↕Code
1PPNet (ResNet-50)31.5NoPart-aware Prototype Network for Few-shot Semant...2020-07-13Code
2PGNet (ResNet-50)17.2No---
3CyCTR (ResNet-101)15.4NoFew-Shot Segmentation via Cycle-Consistent Trans...2021-06-04Code
4PFENet (ResNet-50)10.3NoPrior Guided Feature Enrichment Network for Few-...2020-08-04Code
5PFENet (ResNet-101)10.3NoPrior Guided Feature Enrichment Network for Few-...2020-08-04Code
6HSNet (ResNet-101)2.5NoHypercorrelation Squeeze for Few-Shot Segmentation2021-04-04Code
7HSNet (ResNet-50)2.5NoHypercorrelation Squeeze for Few-Shot Segmentation2021-04-04Code
8MSDNet (ResNet-101)1.5NoMSDNet: Multi-Scale Decoder for Few-Shot Semanti...2024-09-17Code
9MSDNet (ResNet-50)1.5NoMSDNet: Multi-Scale Decoder for Few-Shot Semanti...2024-09-17Code