Few-Shot-Semantic-Segmentation-Papers

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Few-Shot-Semantic-Segmentation-Papers

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Few Shot Semantic Segmentation Papers

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# Few Shot Semantic Segmentation Papers [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

*NOTE:* If your paper is not in the list, plese feel free to [raise an issue](https://github.com/xiaomengyc/Few-Shot-Semantic-Segmentation-Papers/issues) or drop me an [e-mail](mailto:solli.zhang@gmail.com?subject=[GitHub]%fewshot%papers).

## 2023
| Title | Venue | PDF | CODE |
| :-----|:-----:|:---:|:----:|
| A Strong Baseline for Generalized Few-Shot Semantic Segmentation | CVPR | [PDF](https://arxiv.org/abs/2211.14126) | [CODE](https://github.com/sinahmr/DIaM)|
| Few Shot Semantic Segmentation: a review of methodologies and open challenges | arXiv | [PDF](https://arxiv.org/pdf/2304.05832.pdf) | - |
| Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation | WACV | [PDF](https://arxiv.org/abs/2211.02300) | - |

## 2022
| Title | Venue | PDF | CODE |
| :-----|:-----:|:---:|:----:|
| Few-shot Medical Image Segmentation with Cycle-resemblance Attention | WACV | [PDF](https://arxiv.org/pdf/2212.03967.pdf) | - |
| Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning | NeurIPS | [PDF](https://arxiv.org/pdf/2206.06122.pdf) | [CODE](https://github.com/syp2ysy/SVF) |
| Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation | ECCV | [PDF](https://arxiv.org/pdf/2207.10866.pdf) | [CODE](https://seokju-cho.github.io/VAT/) |
| Cross-Domain Few-Shot Semantic Segmentation | ECCV | [PDF](https://slei109.github.io/papers/eccv-cdfss.pdf) | [CODE](https://github.com/slei109/PATNet) |
| Self-Support Few-Shot Semantic Segmentation | ECCV | [PDF](https://arxiv.org/pdf/2207.11549.pdf) | [CODE](https://github.com/fanq15/SSP) |
| Interclass Prototype Relation for Few-Shot Segmentation | ECCV | [PDF](https://arxiv.org/pdf/2211.08681.pdf) | [CODE](http://fss-stat.s3-website-us-east-1.amazonaws.com/IPRNet.zip) |
| Generalized Few-shot Semantic Segmentation | CVPR | [PDF](https://jiaya.me/papers/cvpr22_zhuotao.pdf) | [CODE](https://github.com/dvlab-research/GFS-Seg)
| Integrative Few-Shot Learning for Classification and Segmentation | CVPR | [PDF](https://arxiv.org/abs/2203.15712) | [CODE](https://github.com/dahyun-kang/ifsl) |
| Learning What Not to Segment: A New Perspective on Few-Shot Segmentation | CVPR | [PDF](https://arxiv.org/abs/2203.07615) | [CODE](https://github.com/chunbolang/BAM) |
| APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation | TMM | [PDF](https://ieeexplore.ieee.org/document/9773019) | - |
| MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation | arXiv | [PDF](https://arxiv.org/pdf/2206.09667.pdf) | [CODE](https://github.com/AIVResearch/MSANet) |

## 2021
| Title | Venue | PDF | CODE |
| :-----|:-----:|:---:|:----:|
| Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes | BMVC | [PDF](https://www.bmvc2021-virtualconference.com/assets/papers/0595.pdf) | [CODE](https://github.com/kate-sann5100/SS_few_shot) |
| Rich Embedding Features for One-Shot Semantic Segmentation | TNNLS | [PDF](https://ieeexplore.ieee.org/abstract/document/9463398) | - |
| Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer| ICCV | [PDF](https://arxiv.org/pdf/2108.03032.pdf) | [CODE](https://github.com/zhiheLu/CWT-for-FSS) |
| Hypercorrelation Squeeze for Few-Shot Segmentation | ICCV | [PDF](https://arxiv.org/pdf/2104.01538.pdf) | [CODE](https://github.com/juhongm999/hsnet) |
| Mining Latent Classes for Few-shot Segmentation | ICCV | [PDF](https://arxiv.org/pdf/2103.15402.pdf) | [CODE](https://github.com/LiheYoung/MiningFSS) |
| Few-Shot Semantic Segmentation with Cyclic Memory Network | ICCV | [PDF](https://openaccess.thecvf.com/content/ICCV2021/papers/Xie_Few-Shot_Semantic_Segmentation_With_Cyclic_Memory_Network_ICCV_2021_paper.pdf) | - |
| Learning Meta-class Memory for Few-Shot Semantic Segmentation | ICCV | [PDF](https://openaccess.thecvf.com/content/ICCV2021/papers/Wu_Learning_Meta-Class_Memory_for_Few-Shot_Semantic_Segmentation_ICCV_2021_paper.pdf) | [CODE](https://github.com/wu-zhonghua/MM-Net) |
| Progressive One-Shot Human Parsing | AAAI | [PDF](https://arxiv.org/pdf/2012.11810.pdf) | [CODE](https://github.com/Charleshhy/One-shot-Human-Parsing) |
| Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation | AAAI | [PDF](https://ojs.aaai.org/index.php/AAAI/article/view/16275) | [CODE](https://github.com/oopil/3D_medical_image_FSS) |
| Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation | CVPR | [PDF](https://openaccess.thecvf.com/content/CVPR2021/papers/Xie_Scale-Aware_Graph_Neural_Network_for_Few-Shot_Semantic_Segmentation_CVPR_2021_paper.pdf) | - |
| Adaptive Prototype Learning and Allocation for Few-Shot Segmentation | CVPR | [PDF](https://arxiv.org/pdf/2104.01893.pdf) | [CODE](https://github.com/Reagan1311/ASGNet) |
| Self-Guided and Cross-Guided Learning for Few-Shot Segmentation | CVPR | [PDF](https://arxiv.org/pdf/2103.16129.pdf) | [CODE](https://github.com/zbf1991/SCL) |
| Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? | CVPR  | [PDF](https://arxiv.org/pdf/2012.06166.pdf) | [CODE](https://github.com/mboudiaf/RePRI-for-Few-Shot-Segmentation) |
| On the Texture Bias for Few-Shot CNN Segmentation | WACV | [PDF](https://arxiv.org/pdf/2003.04052v1.pdf) | [CODE](https://github.com/rezazad68/fewshot-segmentation) |
| A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation | ISBI | [PDF](https://arxiv.org/pdf/2103.10178.pdf) | - |
| Dense Gaussian Processes for Few-Shot Segmentation | arXiv | [PDF](https://arxiv.org/pdf/2110.03674.pdf) | - |
| End-to-end One-shot Human Parsing | arXiv | [PDF](https://arxiv.org/pdf/2105.01241.pdf) | - |
| Few-Shot Segmentation with Global and Local Contrastive Learning | arXiv | [PDF](https://arxiv.org/pdf/2108.05293.pdf) | - |
| Few-shot Segmentation with Optimal Transport Matching and Message Flow | arXiv | [PDF](https://arxiv.org/pdf/2108.08518.pdf) | - |
| Uncertainty-Aware Semi-Supervised Few Shot Segmentation | arXiv | [PDF](https://arxiv.org/pdf/2110.08954.pdf) | - |

## 2020
| Title | Venue | PDF | CODE |
| :-----|:-----:|:---:|:----:|
| Prior Guided Feature Enrichment Network for Few-Shot Segmentation | TPAMI | [PDF](https://arxiv.org/abs/2008.01449) | [CODE](https://github.com/dvlab-research/PFENet) |
| Dynamic Extension Nets for Few-shot Semantic Segmentation | MM | [PDF](https://dl.acm.org/doi/abs/10.1145/3394171.3413915) | [CODE](https://github.com/lizhaoliu-Lec/DENet) |
| Semi-supervised few-shot learning for medical image segmentation | arXiv | [PDF](https://arxiv.org/pdf/2003.08462.pdf) | [CODE](https://github.com/fayjie92/FSMS-Surrogate) |
| Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? | arXiv | [PDF](https://arxiv.org/pdf/2012.06166.pdf) | [CODE](https://github.com/mboudiaf/RePRI-for-Few-Shot-Segmentation) |
| Meta-Learning Initializations for Image Segmentation | NeurIPS-W | [PDF](https://meta-learn.github.io/2020/papers/44_paper.pdf) | [CODE](https://github.com/ml4ai/mliis) |
| BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation | arXiv |[PDF](https://arxiv.org/pdf/2008.06226.pdf) | [CODE](https://github.com/Wi-sc/BriNet) |
| Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation | ECCV | [PDF](https://arxiv.org/pdf/2007.09886v2.pdf) | [CODE](https://github.com/cheng-01037/Self-supervised-Fewshot-Medical-Image-Segmentation) |
| Generalized Few-Shot Semantic Segmentation | arXiv | [PDF](https://arxiv.org/pdf/2010.05210.pdf) | - |
| FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation | CVPR | [PDF](https://openaccess.thecvf.com/content_CVPR_2020/papers/Li_FSS-1000_A_1000-Class_Dataset_for_Few-Shot_Segmentation_CVPR_2020_paper.pdf) | [CODE](https://github.com/HKUSTCV/FSS-1000) |
| Few-Shot Semantic Segmentation with Democratic Attention Networks | ECCV | [PDF](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123580715.pdf) | - |
| Prototype Mixture Models for Few-shot Semantic Segmentation | ECCV | [PDF](https://arxiv.org/pdf/2008.03898.pdf) | [CODE](https://github.com/Yang-Bob/PMMs) |
|  PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation| TPAMI | [PDF](https://arxiv.org/pdf/2008.01449.pdf) | [CODE](https://github.com/Jia-Research-Lab/PFENet) |
| Part-aware Prototype Network for Few-shot Semantic Segmentation | ECCV | [PDF](https://arxiv.org/pdf/2007.06309.pdf) | [CODE](https://github.com/Xiangyi1996/PPNet-PyTorch) |
| SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation | IJCAI | [PDF](https://arxiv.org/pdf/2004.15014.pdf) | - |
| Objectness-Aware One-Shot Semantic Segmentation | arXiv | [PDF](https://arxiv.org/pdf/2004.02945.pdf) | - |
| Self-Supervised Tuning for Few-Shot Segmentation | arXiv | [PDF](https://arxiv.org/pdf/2004.05538.pdf) | - |
| SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation | TCYB | [PDF](https://arxiv.org/abs/1810.09091) | [CODE](https://github.com/xiaomengyc/SG-One)|
| CAFENet: Class-Agnostic Few-Shot Edge Detection Network | arXiv | [PDF](https://arxiv.org/pdf/2003.08235.pdf) | - |
| FGN: Fully Guided Network for Few-Shot Instance Segmentation | CVPR | [PDF](https://arxiv.org/pdf/2003.13954.pdf) | - |
| CRNet: Cross-Reference Networks for Few-Shot Segmentation | CVPR | [PDF](https://arxiv.org/pdf/2003.10658.pdf) | - |
| Differentiable Meta-learning Model for Few-shot Semantic Segmentation | AAAI | [PDF](https://arxiv.org/pdf/1911.10371.pdf) | - |
| Prototype Refinement Network for Few-Shot Segmentation | arXiv | [PDF](https://arxiv.org/pdf/2002.03579.pdf) | - |
| Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings | IJCAI | [PDF](https://www.ijcai.org/Proceedings/2020/0120.pdf) | - |

## 2019
| Title | Venue | PDF | CODE |
| :-----|:-----:|:---:|:----:|
|Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation|AAAI|[PDF](https://ojs.aaai.org/index.php/AAAI/article/view/4860)|[CODE](https://github.com/dongzhuoyao/tensorpack/tree/deeplab/examples/one-shot-seg)|
| A deep one-shot network for query-based logo retrieval | PR | [PDF](https://arxiv.org/pdf/1811.01395.pdf) |-|
| PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment | ICCV | [PDF](http://openaccess.thecvf.com/content_ICCV_2019/papers/Wang_PANet_Few-Shot_Image_Semantic_Segmentation_With_Prototype_Alignment_ICCV_2019_paper.pdf) | [CODE](https://github.com/kaixin96/PANet) |
| Pyramid Graph Networks with Connection Attentions for Region-Based One-Shot Semantic Segmentation | ICCV | [PDF](http://openaccess.thecvf.com/content_ICCV_2019/papers/Zhang_Pyramid_Graph_Networks_With_Connection_Attentions_for_Region-Based_One-Shot_Semantic_ICCV_2019_paper.pdf)| - |
| AMP: Adaptive Masked Proxies for Few-Shot Segmentation | ICCV | [PDF](http://openaccess.thecvf.com/content_ICCV_2019/papers/Siam_AMP_Adaptive_Masked_Proxies_for_Few-Shot_Segmentation_ICCV_2019_paper.pdf) | [CODE](https://github.com/MSiam/AdaptiveMaskedProxies) |
| Feature Weighting and Boosting for Few-Shot Segmentation |  ICCV | [PDF](http://openaccess.thecvf.com/content_ICCV_2019/papers/Nguyen_Feature_Weighting_and_Boosting_for_Few-Shot_Segmentation_ICCV_2019_paper.pdf) | - |
| CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning | CVPR | [PDF](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_CANet_Class-Agnostic_Segmentation_Networks_With_Iterative_Refinement_and_Attentive_Few-Shot_CVPR_2019_paper.pdf) | [CODE](https://github.com/icoz69/CaNet) |
| Adaptive Masked Weight Imprinting for Few-Shot Segmentation | ICLRW | [PDF](https://openreview.net/pdf?id=SkeoV4yZUV) | - |
| A New Local Transformation Module for Few-Shot Segmentation | MMMM | [PDF](https://link.springer.com/chapter/10.1007/978-3-030-37734-2_7) |
| A New Few-shot Segmentation Network Based on Class Representation | arXiv | [PDF](https://arxiv.org/pdf/1909.08754.pdf) |

## 2018
| Title | Venue | PDF | CODE |
| :-----|:-----:|:---:|:----:|
| Conditional networks for few-shot semantic segmentation | ICLRW | [PDF](https://openreview.net/pdf?id=SkMjFKJwG) |  [CODE](https://github.com/shelhamer/revolver)  |
| Few-Shot Semantic Segmentation with Prototype Learning | BMVC | [PDF](http://bmvc2018.org/contents/papers/0255.pdf) | - |

## 2017
| Title | Venue | PDF | CODE |
| :-----|:-----:|:---:|:----:|
| One-Shot Learning for Semantic Segmentation | BMVC | [PDF](https://arxiv.org/abs/1709.03410) | [CODE](https://github.com/lzzcd001/OSLSM) |

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