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Few-Shot Learning
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COCO-20i (5-shot)
Few-Shot Learning on COCO-20i (5-shot)
Metric: learnable parameters (million) (higher is better)
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learnable parameters (million) (best first)
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#
Model
↕
learnable parameters (million)
▼
Augmentations
Paper
Date
↕
Code
1
DCAMA (ResNet-101)
47.7
No
Dense Cross-Query-and-Support Attention Weighted...
2022-07-18
Code
2
DCAMA (ResNet-50)
47.7
No
Dense Cross-Query-and-Support Attention Weighted...
2022-07-18
Code
3
FWB (ResNet-101)
43
No
Feature Weighting and Boosting for Few-Shot Segm...
2019-09-28
Code
4
PPNet (ResNet-50)
31.5
No
Part-aware Prototype Network for Few-shot Semant...
2020-07-13
Code
5
BAM (ResNet-50)
26.7
No
Learning What Not to Segment: A New Perspective ...
2022-03-15
Code
6
CyCTR (ResNet-50)
15.4
No
Few-Shot Segmentation via Cycle-Consistent Trans...
2021-06-04
Code
7
PFENet (ResNet-101)
10.3
No
Prior Guided Feature Enrichment Network for Few-...
2020-08-04
Code
8
HSNet (ResNet-101)
2.5
No
Hypercorrelation Squeeze for Few-Shot Segmentation
2021-04-04
Code
9
HSNet (ResNet-50)
2.5
No
Hypercorrelation Squeeze for Few-Shot Segmentation
2021-04-04
Code
10
MSDNet (ResNet-101)
1.5
No
MSDNet: Multi-Scale Decoder for Few-Shot Semanti...
2024-09-17
Code
11
MSDNet (ResNet-50)
1.5
No
MSDNet: Multi-Scale Decoder for Few-Shot Semanti...
2024-09-17
Code
#1
DCAMA (ResNet-101)
SOTA
47.7
learnable parameters (million)
· 2022-07-18
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
Code
#2
DCAMA (ResNet-50)
47.7
learnable parameters (million)
· 2022-07-18
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
Code
#3
FWB (ResNet-101)
SOTA
43
learnable parameters (million)
· 2019-09-28
Feature Weighting and Boosting for Few-Shot Segmentation
Code
#4
PPNet (ResNet-50)
31.5
learnable parameters (million)
· 2020-07-13
Part-aware Prototype Network for Few-shot Semantic Segmentation
Code
#5
BAM (ResNet-50)
26.7
learnable parameters (million)
· 2022-03-15
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
Code
#6
CyCTR (ResNet-50)
15.4
learnable parameters (million)
· 2021-06-04
Few-Shot Segmentation via Cycle-Consistent Transformer
Code
#7
PFENet (ResNet-101)
10.3
learnable parameters (million)
· 2020-08-04
Prior Guided Feature Enrichment Network for Few-Shot Segmentation
Code
#8
HSNet (ResNet-101)
2.5
learnable parameters (million)
· 2021-04-04
Hypercorrelation Squeeze for Few-Shot Segmentation
Code
#9
HSNet (ResNet-50)
2.5
learnable parameters (million)
· 2021-04-04
Hypercorrelation Squeeze for Few-Shot Segmentation
Code
#10
MSDNet (ResNet-101)
1.5
learnable parameters (million)
· 2024-09-17
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
Code
#11
MSDNet (ResNet-50)
1.5
learnable parameters (million)
· 2024-09-17
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
Code