xiaomengyc / few-shot-semantic-segmentation-papers Goto Github PK

Please add our APANet paper which has been accepted by IEEE TMM 2022.

APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation, TMM 2022.

https://ieeexplore.ieee.org/document/9773019

Thanks for your great work..! Would you mind adding the paper Cost Aggregation Is All You Need for Few-Shot Segmentation? We just released the paper today. Thanks!

Hi @xiaomengyc,
I just wanted to remind our paper "Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation" with arxiv address: https://arxiv.org/abs/2207.10866 is accepted to ECCV'22.
Can you please update the list with our paper added?
Thanks!

Could you include our paper accepted to the ISBI2021 conference? Thanks!

https://arxiv.org/abs/2103.10178

Hello,

Thank you for managing the awesome repo.
Please consider adding the following paper:

Title: Integrative Few-Shot Learning for Classification and Segmentation
Venue: CVPR 2022
Paper: https://arxiv.org/abs/2203.15712
Code: https://github.com/dahyun-kang/ifsl

Have a great day! 😃

Hi! Thanks again for your great work. While reading through the papers listed here I have noticed some small errors to be corrected.

1. Objectness-Aware One-Shot Semantic Segmentation appears twice
2. CRNet: Cross-Reference Networks for Few-Shot Segmentation is in CVPR2020
3. SSAP: Single-Shot Instance Segmentation With Affinity Pyramid does not work on few-shot learning

Hi, Dynamic Extension Nets seems to be missing from the list.

https://github.com/lizhaoliu-Lec/DENet
https://dl.acm.org/doi/pdf/10.1145/3394171.3413915

https://arxiv.org/abs/2104.01893

Hello Just wanted to denote that this paper is published in IJCAI 2020 not on arxiv only.
https://www.ijcai.org/Proceedings/2020/0120.pdf

Thanks for your efforts.

Kindly add newly Few-Shot Segmentation SOTA Paper.
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation
https://arxiv.org/abs/2206.09667
https://paperswithcode.com/paper/msanet-multi-similarity-and-attention-1

Could you please add our ECCV 2022 FSS paper?

Self-Support Few-Shot Semantic Segmentation
https://arxiv.org/abs/2207.11549

Thanks!

Hello!
Thanks for your awesome repo.
PANet code has uploaded.
https://github.com/kaixin96/PANet

SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation (IJCAI2020)
https://arxiv.org/pdf/2004.15014.pdf

Part-aware prototype network for few-shot semantic segmentation, accepted by ECCV-2020
Link: https://arxiv.org/abs/2007.06309

https://www.sciencedirect.com/science/article/pii/S0031320319302626?dgcid=rss_sd_all

A deep one-shot network for query-based logo retrieval, Pattern Recognition, 2019.

I wonder if this paper could be added.

Hi Xiaolin,

Thank you so much for organizing this repository.

May I kindly ask if you would like to add the following paper Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (ECCV'20) ? Thanks.

Paper link: https://arxiv.org/abs/2007.09886v2

Code link: https://github.com/cheng-01037/Self-supervised-Fewshot-Medical-Image-Segmentation

Best,
Cheng

Here is the code link for Part-aware Prototype Network for Few-shot Semantic Segmentation. Thanks.
https://github.com/Xiangyi1996/PPNet-PyTorch

Paper 1
Paper Name: Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes
Conference: BMVC
Code: https://github.com/kate-sann5100/SS_few_shot

Paper 2
Paper Name: Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration
Code: https://github.com/kate-sann5100/CrossInstitutionFewShotSegmentation

Hi @xiaomengyc,
Could you please add our ECCV 2022 FSS paper?

Cross-Domain Few-Shot Semantic Segmentation
https://slei109.github.io/papers/eccv-cdfss.pdf

Thanks!

Hello,

I've found that some ICCV'21 papers not listed in your repo yet.
Please consider adding the two papers below:

Few-Shot Semantic Segmentation With Cyclic Memory Network
Guo-Sen Xie, Huan Xiong, Jie Liu, Yazhou Yao, Ling Shao
paper: https://openaccess.thecvf.com/content/ICCV2021/papers/Xie_Few-Shot_Semantic_Segmentation_With_Cyclic_Memory_Network_ICCV_2021_paper.pdf
code: ?
venue: ICCV 2021

Learning Meta-Class Memory for Few-Shot Semantic Segmentation
Zhonghua Wu, Xiangxi Shi, Guosheng Lin, Jianfei Cai
paper: 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
venue: ICCV 2021

I googled the official code for the first one, but not appeared.
Thank you for your effort, and have a great day! 😃

I would like to ask if categorizing all the papers/adding an extra column regarding type of supervision(supervised/semi-supervised/self-supervised/weakly-supervised/semi-weakly-supervised) is possible, would be very helpful since this is the most well-maintained list for FSS.

Here are 3 papers to add (taken from https://github.com/HiLab-git/SSL4MIS)

1. PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
   arXiv, Semantic Scholar
   26 Aug 2021, IEEE BIBM 2021
2. SSA-Net: Spatial Self-Attention Network for COVID-19 Pneumonia Infection Segmentation with Semi-supervised Few-shot Learning
   ScienceDirect
   22 Apr 2022, Elsevier Medical Image Analysis (Journal)
3. FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection
   ScienceDirect
   5 Jan 2021, Elsevier Knowledge-Based Systems (Journal)

Thanks for your great work! Would you mind adding the paper FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation to the list? This is a CVPR2020 paper on a few-shot semantic segmentation dataset. Thanks!

Hi, @xiaomengyc
I just wanted to remind our paper "Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning" with address: https://arxiv.org/pdf/2206.06122.pdf is accepted to NeurIPS 2022.
Can you please update the list with our paper added?
Thanks!

Hi,

Thanks a lot for this awesome repo ! Just dropping a small note to say the paper "Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?" has been accepted to CVPR2021, if it's possible to fix the venue !
Thanks again :)