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

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

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

#1FWB (ResNet-101)SOTA
43
learnable parameters (million)· 2019-09-28
Feature Weighting and Boosting for Few-Shot Segmentation Code
#2PPNet (ResNet-50)
31.5
learnable parameters (million)· 2020-07-13
Part-aware Prototype Network for Few-shot Semantic Segmentation Code
#3PGNet (ResNet-50)
17.2
learnable parameters (million)
No paper
#4CyCTR (ResNet-101)
15.4
learnable parameters (million)· 2021-06-04
Few-Shot Segmentation via Cycle-Consistent Transformer Code
#5PFENet (ResNet-50)
10.3
learnable parameters (million)· 2020-08-04
Prior Guided Feature Enrichment Network for Few-Shot Segmentation Code
#6PFENet (ResNet-101)
10.3
learnable parameters (million)· 2020-08-04
Prior Guided Feature Enrichment Network for Few-Shot Segmentation Code
#7HSNet (ResNet-101)
2.5
learnable parameters (million)· 2021-04-04
Hypercorrelation Squeeze for Few-Shot Segmentation Code
#8HSNet (ResNet-50)
2.5
learnable parameters (million)· 2021-04-04
Hypercorrelation Squeeze for Few-Shot Segmentation Code
#9MSDNet (ResNet-101)
1.5
learnable parameters (million)· 2024-09-17
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping Code
#10MSDNet (ResNet-50)
1.5
learnable parameters (million)· 2024-09-17
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping Code