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SotA/Computer Vision/Few-Shot Semantic Segmentation/PASCAL-5i (5-Shot)

Few-Shot Semantic Segmentation on PASCAL-5i (5-Shot)

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

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#Model↕learnable parameters (million)▼Extra DataPaperDate↕Code
1FWB (ResNet-101)43NoFeature Weighting and Boosting for Few-Shot Segm...2019-09-28Code
2PPNet (ResNet-50)31.5NoPart-aware Prototype Network for Few-shot Semant...2020-07-13Code
3PGNet (ResNet-50)17.2No---
4CyCTR (ResNet-101)15.4NoFew-Shot Segmentation via Cycle-Consistent Trans...2021-06-04Code
5PFENet (ResNet-50)10.3NoPrior Guided Feature Enrichment Network for Few-...2020-08-04Code
6PFENet (ResNet-101)10.3NoPrior Guided Feature Enrichment Network for Few-...2020-08-04Code
7HSNet (ResNet-101)2.5NoHypercorrelation Squeeze for Few-Shot Segmentation2021-04-04Code
8HSNet (ResNet-50)2.5NoHypercorrelation Squeeze for Few-Shot Segmentation2021-04-04Code
9MSDNet (ResNet-101)1.5NoMSDNet: Multi-Scale Decoder for Few-Shot Semanti...2024-09-17Code
10MSDNet (ResNet-50)1.5NoMSDNet: Multi-Scale Decoder for Few-Shot Semanti...2024-09-17Code