| DCP (ResNet-50) |
- Mean IoU
- 67.80
|
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation 2022-04-21 |
코드 1 |
| ProtoFormer (ResNet-50) |
- Mean IoU
- 67.4
- FB-IoU
- 77.1
|
Prototype as Query for Few Shot Semantic Segmentation 2022-11-27 |
코드 1 |
| HSNet (HM, ResNet-50) |
- Mean IoU
- 67.1
- FB-IoU
- 77.7
|
HM: Hybrid Masking for Few-Shot Segmentation 2022-03-24 |
코드 1 |
| ProtoFormer (ResNet-101) |
- Mean IoU
- 67
- FB-IoU
- 76.3
|
Prototype as Query for Few Shot Semantic Segmentation 2022-11-27 |
코드 1 |
| MLC (ResNet-50) |
- Mean IoU
- 66.8
|
Mining Latent Classes for Few-shot Segmentation 2021-03-29 |
코드 1 |
| FECANet (VGG-16) |
- Mean IoU
- 66.7
- FB-IoU
- 77.6
|
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network 2023-01-19 |
코드 1 |
| CyCTR (ResNet-101) |
- Mean IoU
- 66.6
- learnable parameters (million)
- 15.4
|
Few-Shot Segmentation via Cycle-Consistent Transformer 2021-06-04 |
코드 1 · 코드 2 |
| RePRI (ResNet-50) |
- Mean IoU
- 66.6
|
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? 2020-12-11 |
코드 1 · 코드 2 |
| RePRI (CECE-M,ResNet-50) |
- Mean IoU
- 66.5
|
Clustered-patch Element Connection for Few-shot Learning 2023-04-20 |
코드 1 |
| RePRI (CECE-T,ResNet-50) |
- Mean IoU
- 66.2
|
Clustered-patch Element Connection for Few-shot Learning 2023-04-20 |
코드 1 |
| APANet (ResNet-50) |
- Mean IoU
- 66
|
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation 2021-11-24 |
연결 없음 |
| DACM (VGG-16) |
- Mean IoU
- 65.7
- FB-IoU
- 77.8
|
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation 2022-07-30 |
코드 1 |
| RePRI (ResNet-101) |
- Mean IoU
- 65.6
|
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? 2020-12-11 |
코드 1 · 코드 2 |
| CWT (ResNet-101) |
- Mean IoU
- 64.7
|
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer 2021-08-06 |
코드 1 |
| ASGNet (ResNet-101) |
- Mean IoU
- 64.36
- FB-IoU
- 75.2
|
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation 2021-04-05 |
코드 1 · 코드 2 |
| QCLNet (VGG-16) |
- Mean IoU
- 64.2
|
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation 2023-05-12 |
코드 1 |
| HSNet (VGG-16) |
- Mean IoU
- 64.1
- FB-IoU
- 76.6
|
Hypercorrelation Squeeze for Few-Shot Segmentation 2021-04-04 |
코드 1 |
| ASGNet (ResNet-50) |
- Mean IoU
- 63.94
- FB-IoU
- 74.2
|
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation 2021-04-05 |
코드 1 · 코드 2 |
| CWT (ResNet-50) |
- Mean IoU
- 63.7
|
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer 2021-08-06 |
코드 1 |
| PFENet (SCL, ResNet-50) |
- Mean IoU
- 62.9
- FB-IoU
- 72.8
|
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation 2021-03-30 |
코드 1 |
| APANet (VGG-16) |
- Mean IoU
- 62.6
|
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation 2021-11-24 |
연결 없음 |
| PPNet (ResNet-50) |
- Mean IoU
- 62.0
- learnable parameters (million)
- 31.5
|
Part-aware Prototype Network for Few-shot Semantic Segmentation 2020-07-13 |
코드 1 · 코드 2 |
| PFENet (ResNet-50) |
- Mean IoU
- 61.9
- FB-IoU
- 73.9
- learnable parameters (million)
- 10.3
|
Prior Guided Feature Enrichment Network for Few-Shot Segmentation 2020-08-04 |
코드 1 · 코드 2 · 코드 3 |
| PFENet (ResNet-101) |
- Mean IoU
- 61.4
- FB-IoU
- 73.5
- learnable parameters (million)
- 10.3
|
Prior Guided Feature Enrichment Network for Few-Shot Segmentation 2020-08-04 |
코드 1 · 코드 2 · 코드 3 |
| ASR (ResNet-50) |
- Mean IoU
- 60.96
|
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation 2021-06-01 |
코드 1 |
| LTM |
- Mean IoU
- 60.6
|
A New Local Transformation Module for Few-shot Segmentation 2019-10-14 |
연결 없음 |
| FWB (ResNet-101) |
- Mean IoU
- 59.9
- learnable parameters (million)
- 43
|
Feature Weighting and Boosting for Few-Shot Segmentation 2019-09-28 |
코드 1 |
| CANet (SCL, ResNet-50) |
- Mean IoU
- 59.2
- FB-IoU
- 70.7
|
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation 2021-03-30 |
코드 1 |
| PFENet (VGG-16) |
- Mean IoU
- 59
- FB-IoU
- 72.3
|
Prior Guided Feature Enrichment Network for Few-Shot Segmentation 2020-08-04 |
코드 1 · 코드 2 · 코드 3 |
| PGNet (ResNet-50) |
- Mean IoU
- 58.5
- learnable parameters (million)
- 17.2
|
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation 2019-10-01 |
연결 없음 |