| BAM (ResNet-50) |
- Mean IoU
- 70.91
|
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation 2022-03-15 |
코드 1 |
| VAT (HM, ResNet-101) |
- Mean IoU
- 70.9
- FB-IoU
- 81.5
|
HM: Hybrid Masking for Few-Shot Segmentation 2022-03-24 |
코드 1 |
| DACM (ResNet-50) |
- Mean IoU
- 70.9
- FB-IoU
- 81.3
|
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation 2022-07-30 |
코드 1 |
| IPRNet (ResNet-101) |
- Mean IoU
- 70.9
|
Interclass Prototype Relation for Few-Shot Segmentation 2022-11-16 |
연결 없음 |
| MSDNet (ResNet-101) |
- Mean IoU
- 70.8
- FB-IoU
- 85.0
- learnable parameters (million)
- 1.5
|
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping 2024-09-17 |
코드 1 |
| AENet (VGG-16) |
- Mean IoU
- 70.6
- FB-IoU
- 81.8
|
Eliminating Feature Ambiguity for Few-Shot Segmentation 2024-07-13 |
코드 1 |
| HSNet (ResNet-101) |
- Mean IoU
- 70.4
- FB-IoU
- 80.6
- learnable parameters (million)
- 2.5
|
Hypercorrelation Squeeze for Few-Shot Segmentation 2021-04-04 |
코드 1 |
| MSANet (VGG-16) |
- Mean IoU
- 70.4
- FB-IoU
- 80.5
|
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation 2022-06-20 |
코드 1 |
| SCCAN (ResNet-50) |
- Mean IoU
- 70.3
- FB-IoU
- 81.8
|
Self-Calibrated Cross Attention Network for Few-Shot Segmentation 2023-08-18 |
코드 1 |
| IPRNet (ResNet-50) |
- Mean IoU
- 70.2
|
Interclass Prototype Relation for Few-Shot Segmentation 2022-11-16 |
연결 없음 |
| VAT (ResNet-50) |
- Mean IoU
- 70.1
- FB-IoU
- 80.9
|
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation 2022-07-22 |
코드 1 |
| MCE (ResNet-50) |
- Mean IoU
- 70.03
- FB-IoU
- 81.33
|
Masked Cross-image Encoding for Few-shot Segmentation 2023-08-22 |
연결 없음 |
| FECANet (ResNet-50) |
- Mean IoU
- 70
- FB-IoU
- 80.7
|
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network 2023-01-19 |
코드 1 |
| PFENet (SVF, VGG-16) |
- Mean IoU
- 69.8
|
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning 2022-06-13 |
코드 1 |
| HSNet (ResNet-50) |
- Mean IoU
- 69.5
- FB-IoU
- 80.6
- learnable parameters (million)
- 2.5
|
Hypercorrelation Squeeze for Few-Shot Segmentation 2021-04-04 |
코드 1 |
| QCLNet (ResNet-50) |
- Mean IoU
- 69.5
|
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation 2023-05-12 |
코드 1 |
| HSNet (HM, ResNet-101) |
- Mean IoU
- 69.3
- FB-IoU
- 79.7
|
HM: Hybrid Masking for Few-Shot Segmentation 2022-03-24 |
코드 1 |
| SSP (ResNet-50) |
- Mean IoU
- 69.3
|
Self-Support Few-Shot Semantic Segmentation 2022-07-23 |
코드 1 |
| MLC (ResNet-101) |
- Mean IoU
- 69.3
|
Mining Latent Classes for Few-shot Segmentation 2021-03-29 |
코드 1 |
| HDMNet (VGG-16) |
- Mean IoU
- 69.3
|
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation 2023-03-26 |
코드 1 |
| IPMT (ResNet-101) |
- Mean IoU
- 69.2
- FB-IoU
- 80.3
|
Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation 2022-10-13 |
코드 1 |
| BAM (SVF, VGG-16) |
- Mean IoU
- 69.11
|
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning 2022-06-13 |
코드 1 |
| MSDNet (ResNet-50) |
- Mean IoU
- 68.7
- FB-IoU
- 82.1
- learnable parameters (million)
- 1.5
|
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping 2024-09-17 |
코드 1 |
| DCAMA (ResNet-50) |
- Mean IoU
- 68.5
- FB-IoU
- 79.5
|
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation 2022-07-18 |
코드 1 |
| SiGCN (ResNet-50) |
- Mean IoU
- 68.5
- FB-IoU
- 78.3
|
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network 2023-01-09 |
연결 없음 |
| DCAMA (ResNet-101) |
- Mean IoU
- 68.3
- FB-IoU
- 80.8
|
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation 2022-07-18 |
코드 1 |
| MCE (VGG-16) |
- Mean IoU
- 68.21
- FB-IoU
- 78.2
|
Masked Cross-image Encoding for Few-shot Segmentation 2023-08-22 |
연결 없음 |
| IPMT (ResNet-50) |
- Mean IoU
- 68.2
- FB-IoU
- 81.4
|
Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation 2022-10-13 |
코드 1 |
| VAT (HM, ResNet-50) |
- Mean IoU
- 68.2
- FB-IoU
- 78.5
|
HM: Hybrid Masking for Few-Shot Segmentation 2022-03-24 |
코드 1 |
| APANet (ResNet-101) |
- Mean IoU
- 68
|
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation 2021-11-24 |
연결 없음 |