| QCLNet (ResNet-101) |
- Mean IoU
- 67
|
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation 2023-05-12 |
코드 1 |
| ASNet |
- Mean IoU
- 66.9
|
Integrative Few-Shot Learning for Classification and Segmentation 2022-03-29 |
코드 1 |
| DACM (VAT, ResNet-50) |
- Mean IoU
- 66.8
- FB-IoU
- 78.6
|
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation 2022-07-30 |
코드 1 |
| SCCAN (ResNet-50) |
- Mean IoU
- 66.8
- FB-IoU
- 77.7
|
Self-Calibrated Cross Attention Network for Few-Shot Segmentation 2023-08-18 |
코드 1 |
| IPMT (ResNet-50) |
- Mean IoU
- 66.8
- FB-IoU
- 77.1
|
Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation 2022-10-13 |
코드 1 |
| HSNet (HM, ResNet-101) |
- Mean IoU
- 66.7
- FB-IoU
- 77.8
|
HM: Hybrid Masking for Few-Shot Segmentation 2022-03-24 |
코드 1 |
| DPCN |
- Mean IoU
- 66.7
|
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation 2022-04-22 |
연결 없음 |
| AENet (VGG-16) |
- Mean IoU
- 66.6
- FB-IoU
- 79.0
|
Eliminating Feature Ambiguity for Few-Shot Segmentation 2024-07-13 |
코드 1 |
| HSNet (ResNet-101) |
- Mean IoU
- 66.2
- FB-IoU
- 77.6
- learnable parameters (million)
- 2.5
|
Hypercorrelation Squeeze for Few-Shot Segmentation 2021-04-04 |
코드 1 |
| CyCTR (DifFSS, ResNet-50) |
- Mean IoU
- 66.2
|
DifFSS: Diffusion Model for Few-Shot Semantic Segmentation 2023-07-03 |
코드 1 |
| IPMT (ResNet-101) |
- Mean IoU
- 66.1
- FB-IoU
- 78.5
|
Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation 2022-10-13 |
코드 1 |
| MCE (ResNet-50) |
- Mean IoU
- 65.93
- FB-IoU
- 78.1
|
Masked Cross-image Encoding for Few-shot Segmentation 2023-08-22 |
연결 없음 |
| VAT (HM, ResNet-50) |
- Mean IoU
- 65.8
- FB-IoU
- 77.1
|
HM: Hybrid Masking for Few-Shot Segmentation 2022-03-24 |
코드 1 |
| MSANet (VGG-16) |
- Mean IoU
- 65.76
- FB-IoU
- 78.01
|
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation 2022-06-20 |
코드 1 |
| SiGCN (ResNet-101) |
- Mean IoU
- 65.7
- FB-IoU
- 78.3
|
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network 2023-01-09 |
연결 없음 |
| DACM (ResNet-50) |
- Mean IoU
- 65.7
- FB-IoU
- 77.8
|
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation 2022-07-30 |
코드 1 |
| IPRNet (ResNet-50) |
- Mean IoU
- 65.7
|
Interclass Prototype Relation for Few-Shot Segmentation 2022-11-16 |
연결 없음 |
| VAT (ResNet-50) |
- Mean IoU
- 65.5
- FB-IoU
- 77.8
|
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation 2022-07-22 |
코드 1 |
| SiGCN (ResNet-50) |
- Mean IoU
- 65.3
- FB-IoU
- 77.5
|
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network 2023-01-09 |
연결 없음 |
| HDMNet (VGG-16) |
- Mean IoU
- 65.1
|
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation 2023-03-26 |
코드 1 |
| HSNet (HM, ResNet-50) |
- Mean IoU
- 65
- FB-IoU
- 76.5
|
HM: Hybrid Masking for Few-Shot Segmentation 2022-03-24 |
코드 1 |
| BAM (SVF, VGG-16) |
- Mean IoU
- 64.87
|
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning 2022-06-13 |
코드 1 |
| DGPNet (ResNet-101) |
- Mean IoU
- 64.8
|
Dense Gaussian Processes for Few-Shot Segmentation 2021-10-07 |
코드 1 |
| MSDNet (ResNet-101) |
- Mean IoU
- 64.7
- FB-IoU
- 77.3
- learnable parameters (million)
- 1.5
|
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping 2024-09-17 |
코드 1 |
| FPTrans (ViT-B/16) |
- Mean IoU
- 64.7
|
Feature-Proxy Transformer for Few-Shot Segmentation 2022-10-13 |
코드 1 · 코드 2 |
| DCAMA (ResNet-50) |
- Mean IoU
- 64.6
- FB-IoU
- 75.7
|
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation 2022-07-18 |
코드 1 |
| SSP (ResNet-101) |
- Mean IoU
- 64.6
|
Self-Support Few-Shot Semantic Segmentation 2022-07-23 |
코드 1 |
| PFENet (SVF, VGG-16) |
- Mean IoU
- 64.33
|
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning 2022-06-13 |
코드 1 |
| MSDNet (ResNet-50) |
- Mean IoU
- 64.3
- FB-IoU
- 77.1
- learnable parameters (million)
- 1.5
|
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping 2024-09-17 |
코드 1 |
| FECANet (VGG-16) |
- Mean IoU
- 64.3
- FB-IoU
- 76.2
|
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network 2023-01-19 |
코드 1 |