NOTE: If I missed your paper, plese feel free to raise an issue or drop me an e-mail.
Title | Venue | CODE | |
---|---|---|---|
CAFENet: Class-Agnostic Few-Shot Edge Detection Network | arXiv | - | |
Objectness-Aware One-Shot Semantic Segmentation | arXiv | - | |
FGN: Fully Guided Network for Few-Shot Instance Segmentation | arXiv | - | |
CRNet: Cross-Reference Networks for Few-Shot Segmentation | arXiv | - | |
Self-Supervised Tuning for Few-Shot Segmentation | arXiv | - | |
On the Texture Bias for Few-Shot CNN Segmentation | arXiv | CODE | |
Differentiable Meta-learning Model for Few-shot Semantic Segmentation | AAAI | - | |
Prototype Refinement Network for Few-Shot Segmentation | arXiv | - | |
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs | arXiv |
Title | Venue | CODE | |
---|---|---|---|
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment | ICCV | CODE | |
Pyramid Graph Networks with Connection Attentions for Region-Based One-Shot Semantic Segmentation | ICCV | - | |
AMP: Adaptive Masked Proxies for Few-Shot Segmentation | ICCV | CODE | |
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid | ICCV | - | |
Feature Weighting and Boosting for Few-Shot Segmentation | ICCV | - | |
CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning | CVPR | - | |
Adaptive Masked Weight Imprinting for Few-Shot Segmentation | ICLRW | - | |
A New Local Transformation Module for Few-Shot Segmentation | MMMM | ||
A New Few-shot Segmentation Network Based on Class Representation | arXiv |
Title | Venue | CODE | |
---|---|---|---|
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation | arXiv | CODE | |
Conditional networks for few-shot semantic segmentation | ICLRW | CODE | |
Few-Shot Semantic Segmentation with Prototype Learning | BMVC | - |
Title | Venue | CODE | |
---|---|---|---|
One-Shot Learning for Semantic Segmentation | BMVC | CODE |