| PGMA-Net (ResNet-101) |
- Mean IoU
- 59.4
- FB-IoU
- 78.5
|
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond 2023-08-15 |
연결 없음 |
| GF-SAM (DINOv2) |
- Mean IoU
- 58.7
|
Bridge the Points: Graph-based Few-shot Segment Anything Semantically 2024-10-09 |
코드 1 |
| SegGPT (ViT) |
- Mean IoU
- 56.1
|
SegGPT: Segmenting Everything In Context 2023-04-06 |
코드 1 · 코드 2 · 코드 3 |
| PGMA-Net (ResNet-50) |
- Mean IoU
- 54.3
- FB-IoU
- 75.8
|
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond 2023-08-15 |
연결 없음 |
| Matcher(DINOv2) |
- Mean IoU
- 52.7
|
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching 2023-05-22 |
코드 1 |
| DiffewS (SD2.1) |
- Mean IoU
- 52.2
|
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation 2024-10-03 |
코드 1 |
| HMNet (ResNet-50) |
- Mean IoU
- 52.1
- FB-IoU
- 74.5
|
Hybrid Mamba for Few-Shot Segmentation 2024-09-29 |
코드 1 |
| AENet (ResNet-50) |
- Mean IoU
- 51.3
- FB-IoU
- 74.4
|
Eliminating Feature Ambiguity for Few-Shot Segmentation 2024-07-13 |
코드 1 |
| DCAMA (Swin-B) |
- Mean IoU
- 50.9
- FB-IoU
- 73.2
|
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation 2022-07-18 |
코드 1 |
| MSANet (ResNet-101) |
- Mean IoU
- 50.45
- FB-IoU
- 51.09
|
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation 2022-06-20 |
코드 1 |
| HDMNet (ResNet-50) |
- Mean IoU
- 50
- FB-IoU
- 72.2
|
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation 2023-03-26 |
코드 1 |
| VAT + MSI (ResNet-101) |
- Mean IoU
- 49.8
|
MSI: Maximize Support-Set Information for Few-Shot Segmentation 2022-12-09 |
코드 1 |
| HMNet (VGG-16) |
- Mean IoU
- 49.1
- FB-IoU
- 72.6
|
Hybrid Mamba for Few-Shot Segmentation 2024-09-29 |
코드 1 |
| MSDNet (ResNet-101) |
- Mean IoU
- 48.5
- FB-IoU
- 71.3
- learnable parameters (million)
- 1.5
|
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping 2024-09-17 |
코드 1 |
| BAM (SVF, ResNet-50) |
- Mean IoU
- 48.47
|
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning 2022-06-13 |
코드 1 |
| SCCAN (ResNet-101) |
- Mean IoU
- 48.2
- FB-IoU
- 69.7
|
Self-Calibrated Cross Attention Network for Few-Shot Segmentation 2023-08-18 |
코드 1 |
| PFENet (SVF, ResNet-50) |
- Mean IoU
- 48.02
|
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning 2022-06-13 |
코드 1 |
| MIANet (ResNet-50) |
- Mean IoU
- 47.66
- FB-IoU
- 71.51
|
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation 2023-05-23 |
코드 1 |
| ProtoFormer (ResNet-101) |
- Mean IoU
- 47
- FB-IoU
- 70
|
Prototype as Query for Few Shot Semantic Segmentation 2022-11-27 |
코드 1 |
| FPTrans (DeiT-B/16) |
- Mean IoU
- 47
|
Feature-Proxy Transformer for Few-Shot Segmentation 2022-10-13 |
코드 1 · 코드 2 |
| IPRNet (ResNet-101) |
- Mean IoU
- 46.9
|
Interclass Prototype Relation for Few-Shot Segmentation 2022-11-16 |
연결 없음 |
| DGPNet (ResNet-101) |
- Mean IoU
- 46.7
|
Dense Gaussian Processes for Few-Shot Segmentation 2021-10-07 |
코드 1 |
| HDMNet (DifFSS, ResNet-50) |
- Mean IoU
- 46.7
|
DifFSS: Diffusion Model for Few-Shot Semantic Segmentation 2023-07-03 |
코드 1 |
| HSNet (HM, ResNet-101) |
- Mean IoU
- 46.5
- FB-IoU
- 71.5
|
HM: Hybrid Masking for Few-Shot Segmentation 2022-03-24 |
코드 1 |
| MSDNet (ResNet-50) |
- Mean IoU
- 46.5
- FB-IoU
- 70.4
- learnable parameters (million)
- 1.5
|
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping 2024-09-17 |
코드 1 |
| MSANet (ResNet-50) |
- Mean IoU
- 46.44
- FB-IoU
- 48.03
|
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation 2022-06-20 |
코드 1 |
| AENet (VGG-16) |
- Mean IoU
- 46.4
- FB-IoU
- 71.8
|
Eliminating Feature Ambiguity for Few-Shot Segmentation 2024-07-13 |
코드 1 |
| SCCAN (ResNet-50) |
- Mean IoU
- 46.3
- FB-IoU
- 69.9
|
Self-Calibrated Cross Attention Network for Few-Shot Segmentation 2023-08-18 |
코드 1 |
| BAM (ResNet-50) |
- Mean IoU
- 46.23
- learnable parameters (million)
- 26.7
|
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation 2022-03-15 |
코드 1 |
| ASNet (HM, ResNet-101) |
- Mean IoU
- 45.9
- FB-IoU
- 71.1
|
HM: Hybrid Masking for Few-Shot Segmentation 2022-03-24 |
코드 1 |