| CyCTR (ResNet-101) |
- Mean IoU
- 64.3
- learnable parameters (million)
- 15.4
|
Few-Shot Segmentation via Cycle-Consistent Transformer 2021-06-04 |
코드 1 · 코드 2 |
| QCLNet (ResNet-50) |
- Mean IoU
- 64.3
|
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation 2023-05-12 |
코드 1 |
| HSNet (ResNet-50) |
- Mean IoU
- 64.0
- FB-IoU
- 76.7
- learnable parameters (million)
- 2.5
|
Hypercorrelation Squeeze for Few-Shot Segmentation 2021-04-04 |
코드 1 |
| APANet (ResNet-101) |
- Mean IoU
- 64
|
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation 2021-11-24 |
연결 없음 |
| MLC (ResNet-101) |
- Mean IoU
- 63.8
|
Mining Latent Classes for Few-shot Segmentation 2021-03-29 |
코드 1 |
| MLC (ResNet-50) |
- Mean IoU
- 63.6
|
Mining Latent Classes for Few-shot Segmentation 2021-03-29 |
코드 1 |
| DGPNet (ResNet-50) |
- Mean IoU
- 63.5
|
Dense Gaussian Processes for Few-Shot Segmentation 2021-10-07 |
코드 1 |
| ProtoFormer (ResNet-101) |
- Mean IoU
- 63.2
- FB-IoU
- 72.6
|
Prototype as Query for Few Shot Semantic Segmentation 2022-11-27 |
코드 1 |
| ProtoFormer (ResNet-50) |
- Mean IoU
- 63.1
- FB-IoU
- 72.6
|
Prototype as Query for Few Shot Semantic Segmentation 2022-11-27 |
코드 1 |
| APANet (ResNet-50) |
- Mean IoU
- 63
|
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation 2021-11-24 |
연결 없음 |
| MCE (VGG-16) |
- Mean IoU
- 62.87
- FB-IoU
- 74.51
|
Masked Cross-image Encoding for Few-shot Segmentation 2023-08-22 |
연결 없음 |
| DCP (ResNet-50) |
- Mean IoU
- 62.80
|
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation 2022-04-21 |
코드 1 |
| DACM (VGG-16) |
- Mean IoU
- 61.8
- FB-IoU
- 75.5
|
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation 2022-07-30 |
코드 1 |
| PFENet (SCL, ResNet-50) |
- Mean IoU
- 61.8
- FB-IoU
- 71.9
|
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation 2021-03-30 |
코드 1 |
| SSP (ResNet-50) |
- Mean IoU
- 61.4
|
Self-Support Few-Shot Semantic Segmentation 2022-07-23 |
코드 1 |
| IMR-HSNet (ResNet-50) |
- Mean IoU
- 61.1
|
Iterative Few-shot Semantic Segmentation from Image Label Text 2023-03-10 |
코드 1 |
| SiGCN (VGG-16) |
- Mean IoU
- 60.8
- FB-IoU
- 73.5
|
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network 2023-01-09 |
연결 없음 |
| PFENet (ResNet-50) |
- Mean IoU
- 60.8
- FB-IoU
- 73.3
- learnable parameters (million)
- 10.3
|
Prior Guided Feature Enrichment Network for Few-Shot Segmentation 2020-08-04 |
코드 1 · 코드 2 · 코드 3 |
| QCLNet (VGG-16) |
- Mean IoU
- 60.6
|
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation 2023-05-12 |
코드 1 |
| RePRI (CECE-T,ResNet-50) |
- Mean IoU
- 60.5
|
Clustered-patch Element Connection for Few-shot Learning 2023-04-20 |
코드 1 |
| RePRI (CECE-M,ResNet-50) |
- Mean IoU
- 60.4
|
Clustered-patch Element Connection for Few-shot Learning 2023-04-20 |
코드 1 |
| PFENet (ResNet-101) |
- Mean IoU
- 60.1
- FB-IoU
- 72.9
- learnable parameters (million)
- 10.3
|
Prior Guided Feature Enrichment Network for Few-Shot Segmentation 2020-08-04 |
코드 1 · 코드 2 · 코드 3 |
| HSNet (VGG-16) |
- Mean IoU
- 59.7
- FB-IoU
- 73.4
|
Hypercorrelation Squeeze for Few-Shot Segmentation 2021-04-04 |
코드 1 |
| RePRI (ResNet-50) |
- Mean IoU
- 59.7
|
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? 2020-12-11 |
코드 1 · 코드 2 |
| RePRI (ResNet-101) |
- Mean IoU
- 59.4
|
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? 2020-12-11 |
코드 1 · 코드 2 |
| ASGNet (ResNet-101) |
- Mean IoU
- 59.31
- FB-IoU
- 71.7
|
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation 2021-04-05 |
코드 1 · 코드 2 |
| ASGNet (ResNet-50) |
- Mean IoU
- 59.29
- FB-IoU
- 69.2
|
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation 2021-04-05 |
코드 1 · 코드 2 |
| APANet (VGG-16) |
- Mean IoU
- 59
|
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation 2021-11-24 |
연결 없음 |
| ASR (ResNet-50) |
- Mean IoU
- 58.16
|
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation 2021-06-01 |
코드 1 |
| PFENet (VGG-16) |
- Mean IoU
- 58
- FB-IoU
- 72
|
Prior Guided Feature Enrichment Network for Few-Shot Segmentation 2020-08-04 |
코드 1 · 코드 2 · 코드 3 |