yassouali/awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

awesome-semi-supervised-learning's Issues

Could you add this paper to the list?

One-bit Supervision for Imagenet Classification (https://proceedings.neurips.cc/paper/2020/file/05f971b5ec196b8c65b75d2ef8267331-Paper.pdf)

Request to add paper

Hi,

Requesting to add our paper.

STAR: Noisy Semi-Supervised Transfer Learning for Visual Classification. [pdf] [code]

Hasib Zunair, Yan Gobeil, Samuel Mercier and A. Ben Hamza. ACM MMSports 2021

Suggestion for Paper

Hi, thanks for maintaining this repo. It is truly awesome ! :)

Request you to add to this list :
https://openaccess.thecvf.com/content/ICCV2023/papers/Xia_CoIn_Contrastive_Instance_Feature_Mining_for_Outdoor_3D_Object_Detection_ICCV_2023_paper.pdf

3D SSOD paper

Request to add paper

Hello, thanks for your kind share! It help me a lot!
Would you please share our paper on TPAMI 2023:
Linshan Wu, Leyuan Fang, Xingxin He, Min He, Jiayi Ma, and Zhun Zhong. Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation. TPAMI 2023.
link: https://ieeexplore.ieee.org/document/10005033

It would help me a lot! Thank your very much!

Request to add paper

Thank you for meticulously maintaining this repository!

Could you add our recent work on unsupervised domain adaptation (UDA), semi-supervised domain adaptation (SSDA), and weakly-supervised domain adaptation (WSDA) in LiDAR segmentation? We built the first benchmark for UDA/SSDA/WSDA in LiDAR segmentation (range-view) and proposed a new algorithm which has achieved promising results.

• Title: ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
• Link: https://arxiv.org/abs/2111.15242
• Authors: Lingdong Kong, Niamul Quader, Venice Erin Liong, Hanwang Zhang
• Affiliations: Nanyang Technological University, Motional
• Tags: seg, uda, av, lidar

One modification on NeurIPS 2020 paper

Hi, I've just checked some of NeurIPS2020 papers are added to this repository.
Additionally, the paper "Unsupervised Data Augmentation for Consistency Training" is accepted on NeurIPS2020, but the information is not modified (the item in year 2019).

Unsupervised Data Augmentation for Consistency Training.
Qizhe Xie, Zihang Dai, Eduard Hovy, Minh-Thang Luong, Quoc V. Le. NeurIPS 2020

would like to contribute papers you likely might have missed

Paper 1
Title: Semi-Supervised Semantic Segmentation with High- and Low-level Consistency
Conference: IEEE TPAMI
Year: 2019

Sudhanshu Mittal, Maxim Tatarchenko, and Thomas
Brox. Semi-supervised semantic segmentation with
high- and low-level consistency. arXiv preprint
arXiv:1908.05724, 2019. 2, 7, 8, 9

Paper 2:
Title: Adversarial learning for semi-supervised semantic segmentation
Conference: BMVC
Year: 2018

Hung, Wei-Chih, et al. "Adversarial learning for semi-supervised semantic segmentation." arXiv preprint arXiv:1802.07934 (2018).
}

Duplicated paper

It seems like the paper Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency is duplicated in the paper list. One has the link of code, but the other doesn't. Could you help to delete the entry that doesn't have a code link? @yassouali

Thank you very much!

add a new paper

Hi,

Maybe this can be added.

Self-training with Noisy Student improves ImageNet classification
Published in CVPR 2020

Please add our paper

Semi-Supervised Visual Representation Learning for Fashion Compatibility (ACM RecSys'21)

I have raised a pull request for the same. Please check #35.

Thanks!

Please add our paper

Hi,

Thanks for maintaining this repository. Appreciate your efforts.

Please add our paper "Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation" that provides a novel way
to learn powerful representations in Semi-Supervised Setting using Contrastive Learning for images.
arXiv: https://arxiv.org/abs/2106.06801

The paper is accepted at MICCAI 2021.

cvpr 2022 papers

Hi. Can you please add these CVPR 2022 papers?

SimMatch: Semi-supervised Learning with Similarity Matching
https://arxiv.org/pdf/2203.06915.pdf

Propagation Regularizer for Semi-supervised Learning with Extremely Scarce Labeled Samples
https://openaccess.thecvf.com/content/CVPR2022/papers/Kim_Propagation_Regularizer_for_Semi-Supervised_Learning_With_Extremely_Scarce_Labeled_Samples_CVPR_2022_paper.pdf

DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning
https://openaccess.thecvf.com/content/CVPR2022/papers/Zhao_DC-SSL_Addressing_Mismatched_Class_Distribution_in_Semi-Supervised_Learning_CVPR_2022_paper.pdf

Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning
https://openaccess.thecvf.com/content/CVPR2022/papers/Tang_Towards_Discovering_the_Effectiveness_of_Moderately_Confident_Samples_for_Semi-Supervised_CVPR_2022_paper.pdf

Missing paper information

Hi, paper information (authors, conference) is missing for the paper on the list:
Interpolation Consistency Training for Semi-Supervised Learning.

• Interpolation Consistency Training for Semi-Supervised Learning.
  [pdf]
  [code]
  • Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio and David Lopez-Paz. IJCAI2019

Request to add paper

Hi, I request to add the two papers:

SVFormer: Semi-supervised Video Transformer for Action Recognition , pdf
Zhen Xing, Qi Dai, Han Hu, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang, CVPR 2023

Semi-supervised Single-view 3D Reconstruction via Prototype Shape Priors. pdf
Zhen Xing, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang, ECCV 2022

Add one semi-supervised semantic segmentation paper

Thanks a lot for your great work!

Would you please help to add one new CVPR2021 paper related to semi-supervised semantic segmentation as follows?

• Semi-supervised Semantic Segmentation with Directional Context-aware Consistency.
  [pdf]
  [code]
  • Xin Lai*, Zhuotao Tian*, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia. CVPR 2021

Thank you very much!

A misplaced paper in the Image Classifcation list

Thanks for sharing the paper list of semi-supervised learning (SSL).
This is an awesome resource for studying SSL.

However, I found one paper has been misplaced, and the paper list can be improved.

Humble Teachers Teach Better Students for Semi-Supervised Object Detection.
Yihe Tang, Weifeng Chen, Yijun Luo, Yuting Zhang. CVPR 2021

I think this paper should be put on the Object Detection list instead of the Image Classifcation list.