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SotA/Methodology/Few-Shot Learning/COCO-20i (5-shot)

Few-Shot Learning on COCO-20i (5-shot)

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

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#Model↕learnable parameters (million)▼AugmentationsPaperDate↕Code
1DCAMA (ResNet-101)47.7NoDense Cross-Query-and-Support Attention Weighted...2022-07-18Code
2DCAMA (ResNet-50)47.7NoDense Cross-Query-and-Support Attention Weighted...2022-07-18Code
3FWB (ResNet-101)43NoFeature Weighting and Boosting for Few-Shot Segm...2019-09-28Code
4PPNet (ResNet-50)31.5NoPart-aware Prototype Network for Few-shot Semant...2020-07-13Code
5BAM (ResNet-50)26.7NoLearning What Not to Segment: A New Perspective ...2022-03-15Code
6CyCTR (ResNet-50)15.4NoFew-Shot Segmentation via Cycle-Consistent Trans...2021-06-04Code
7PFENet (ResNet-101)10.3NoPrior Guided Feature Enrichment Network for Few-...2020-08-04Code
8HSNet (ResNet-101)2.5NoHypercorrelation Squeeze for Few-Shot Segmentation2021-04-04Code
9HSNet (ResNet-50)2.5NoHypercorrelation Squeeze for Few-Shot Segmentation2021-04-04Code
10MSDNet (ResNet-101)1.5NoMSDNet: Multi-Scale Decoder for Few-Shot Semanti...2024-09-17Code
11MSDNet (ResNet-50)1.5NoMSDNet: Multi-Scale Decoder for Few-Shot Semanti...2024-09-17Code