| HDMNet (VGG-16) |
- Mean IoU
- 45.9
|
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation 2023-03-26 |
코드 1 |
| ProtoFormer (ResNet-50) |
- Mean IoU
- 45.7
- FB-IoU
- 69.6
|
Prototype as Query for Few Shot Semantic Segmentation 2022-11-27 |
코드 1 |
| MIANet (VGG-16) |
- Mean IoU
- 45.69
- FB-IoU
- 71.01
|
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation 2023-05-23 |
코드 1 |
| IPRNet (ResNet-50) |
- Mean IoU
- 45.3
|
Interclass Prototype Relation for Few-Shot Segmentation 2022-11-16 |
연결 없음 |
| DGPNet (ResNet-50) |
- Mean IoU
- 45
|
Dense Gaussian Processes for Few-Shot Segmentation 2021-10-07 |
코드 1 |
| ASNet (HM, ResNet-50) |
- Mean IoU
- 44.7
- FB-IoU
- 70.4
|
HM: Hybrid Masking for Few-Shot Segmentation 2022-03-24 |
코드 1 |
| HSNet (HM, ResNet-50) |
- Mean IoU
- 44.3
- FB-IoU
- 70.8
|
HM: Hybrid Masking for Few-Shot Segmentation 2022-03-24 |
코드 1 |
| MCE (ResNet-50) |
- Mean IoU
- 44.22
|
Masked Cross-image Encoding for Few-shot Segmentation 2023-08-22 |
연결 없음 |
| BAM (SVF, VGG-16) |
- Mean IoU
- 43.76
|
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning 2022-06-13 |
코드 1 |
| QCLNet (ResNet-101) |
- Mean IoU
- 43.6
|
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation 2023-05-12 |
코드 1 |
| BAM (DifFSS, ResNet-50) |
- Mean IoU
- 43.6
|
DifFSS: Diffusion Model for Few-Shot Semantic Segmentation 2023-07-03 |
코드 1 |
| DCAMA (ResNet-101) |
- Mean IoU
- 43.5
- FB-IoU
- 69.9
- learnable parameters (million)
- 47.7
|
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation 2022-07-18 |
코드 1 |
| DCAMA (ResNet-50) |
- Mean IoU
- 43.3
- FB-IoU
- 69.5
|
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation 2022-07-18 |
코드 1 |
| VAT (HM, ResNet-50) |
- Mean IoU
- 43.2
- FB-IoU
- 70
|
HM: Hybrid Masking for Few-Shot Segmentation 2022-03-24 |
코드 1 |
| ASNet |
- Mean IoU
- 43.1
|
Integrative Few-Shot Learning for Classification and Segmentation 2022-03-29 |
코드 1 |
| DACM (VAT, ResNet-50) |
- Mean IoU
- 43
- FB-IoU
- 69.4
|
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation 2022-07-30 |
코드 1 |
| IPMT (ResNet-50) |
- Mean IoU
- 43
|
Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation 2022-10-13 |
코드 1 |
| IPMT (ResNet-101) |
- Mean IoU
- 42.6
|
Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation 2022-10-13 |
코드 1 |
| IMR-HSNet (ResNet-50) |
- Mean IoU
- 42.4
|
Iterative Few-shot Semantic Segmentation from Image Label Text 2023-03-10 |
코드 1 |
| QCLNet (ResNet-50) |
- Mean IoU
- 42.3
|
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation 2023-05-12 |
코드 1 |
| PFENet (SVF, VGG-16) |
- Mean IoU
- 42.24
|
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning 2022-06-13 |
코드 1 |
| FPTrans (ViT-B/16) |
- Mean IoU
- 42
|
Feature-Proxy Transformer for Few-Shot Segmentation 2022-10-13 |
코드 1 · 코드 2 |
| SSP (ResNet-101) |
- Mean IoU
- 42
|
Self-Support Few-Shot Semantic Segmentation 2022-07-23 |
코드 1 |
| APANet (ResNet-101) |
- Mean IoU
- 41.9
|
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation 2021-11-24 |
연결 없음 |
| FECANet (ResNet-50) |
- Mean IoU
- 41.6
- FB-IoU
- 69.6
|
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network 2023-01-19 |
코드 1 |
| SiGCN (ResNet-50) |
- Mean IoU
- 41.4
- FB-IoU
- 62.7
|
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network 2023-01-09 |
연결 없음 |
| DCP (ResNet-50) |
- Mean IoU
- 41.39
|
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation 2022-04-21 |
코드 1 |
| VAT (ResNet-101) |
- Mean IoU
- 41.3
- FB-IoU
- 68.8
|
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation 2022-07-22 |
코드 1 |
| VAT (ResNet-50) |
- Mean IoU
- 41.3
|
Cost Aggregation Is All You Need for Few-Shot Segmentation 2021-12-22 |
코드 1 · 코드 2 |
| HSNet (ResNet-101) |
- Mean IoU
- 41.2
- FB-IoU
- 69.1
- learnable parameters (million)
- 2.5
|
Hypercorrelation Squeeze for Few-Shot Segmentation 2021-04-04 |
코드 1 |