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Awesome Single Positive Multi-Label Learning Awesome

This is a collection of papers and code for single positive multi-label learning (SPML), an interesting and challenging variant of multi-label learning. Feel free to create pull requests (e.g., add missing papers, correct errors) if there are anything that can make this community better! <br> <br>

Table of Contents

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Published Papers

Multi-Label Learning from Single Positive Labels <br> Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic. <br> CVPR 2021 | [Paper] [Code]

Large Loss Matters in Weakly Supervised Multi-Label Classification <br> Youngwook Kim, Jae Myung Kim, Zeynep Akata, Jungwoo Lee. <br> CVPR 2022 | [Paper] [Code]

Acknowledging the Unknown for Multi-label Learning with Single Positive Labels <br> Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng. <br> ECCV 2022 | [Paper] [Code]

Hyperspherical Learning in Multi-Label Classification <br> Bo Ke, Yunquan Zhu, Mengtian Li, Xiujun Shu, Ruizhi Qiao, Bo Ren. <br> ECCV 2022 | [Paper] [Code]

PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification <br> Rabab Abdelfattah, Xin Zhang, Zhenyao Wu, Xinyi Wu, Xiaofeng Wang, Song Wang. <br> ECCVW 2022 | [Paper]

G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification <br> Rabab Abdelfattah, Xin Zhang, Mostafa M. Fouda, Xiaofeng Wang, Song Wang. <br> BMVC 2022 | [Paper]

An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition <br> Kiyoon Kim, Davide Moltisanti, Oisin Mac Aodha, Laura Sevilla-Lara. <br> BMVC 2022 | [Paper] [Code]

One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement <br> Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang. <br> NeurIPS 2022 | [Paper] [Code]

Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels <br> Ming-Kun Xie, Jia-Hao Xiao, Sheng-Jun Huang. <br> NeurIPS 2022 | [Paper] [Code]

Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations <br> Thomas Verelst, Paul K. Rubenstein, Marcin Eichner, Tinne Tuytelaars, Maxim Berman. <br> WACV 2023 | [Paper]

Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification <br> Youngwook Kim, Jae Myung Kim, Jieun Jeong, Cordelia Schmid, Zeynep Akata, and Jungwoo Lee. <br> CVPR 2023 | [Paper] [Code]

Exploring Structured Semantic Prior for Multi-Label Recognition with Incomplete Labels <br> Zixuan Ding, Ao Wang, Hui Chen, Qiang Zhang, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Jungong Han. <br> CVPR 2023 | [Paper] [Code]

Understanding Label Bias in Single Positive Multi-Label Learning <br> Julio Arroyo, Pietro Perona, Elijah Cole. <br> Tiny Papers @ ICLR 2023 | [Paper]

Pseudo Labels for Single Positive Multi-Label Learning <br> Julio Arroyo. <br> Tiny Papers @ ICLR 2023 | [Paper]

Revisiting Pseudo-Label for Single-Positive Multi-Label Learning <br> Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng. <br> ICML 2023 | [Paper]

Spatial Implicit Neural Representations for Global-Scale Species Mapping <br> Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha. <br> ICML 2023 | [Paper]

Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels <br> Ao Wang, Hui Chen, Zijia Lin, Zixuan Ding, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Guiguang Ding. <br> ACM MM 2023 | [Paper]

Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition <br> Cheng Chen, Yifan Zhao, Jia Li. <br> IJCV 2023 | [Paper] [Code]

Multi-Label Classification with Single Positive Label for Remote Sensing Image <br> Keigo Fujii; Akira Iwasaki. <br> IGARSS 2023 | [Paper]

Is one label all you need? Single positive multi-label training in medical image analysis <br> Helen Schneider, Priya Priya, David Biesner, Rebecca Kador, Yannik C. Layer, Maike Theis, Sebastian Nowak, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa. <br> BigData 2024 | [Paper]

Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning <br> Xin Xing, Zhexiao Xiong, Abby Stylianou, Srikumar Sastry, Liyu Gong, Nathan Jacobs. <br> CVPRW 2024 | [Paper] [Code]

Prompt Expending for Single Positive Multi-Label Learning with Global Unannotated Categories <br> Zhongnian Li, Peng Ying, Meng Wei, Tongfeng Sun, Xinzheng Xu. <br> ICMR 2024 | [Paper] [Code]

Multi-Label Chest X-Ray Image Classification with Single Positive Labels <br> Jiayin Xiao, Si Li, Tongxu Lin, Jian Zhu, Xiaochen Yuan, David Dagan Feng, Bin Sheng. <br> IEEE TMI 2024 | [Paper]

IGNORE: Information Gap-based False Negative Loss Rejection for Single Positive Multi-Label Learning <br> GyeongRyeol Song, Noo-ri Kim, Jin-Seop Lee, Jee-Hyong Lee. <br> ECCV 2024 | [Paper]

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Archives

Simple and Robust Loss Design for Multi-Label Learning with Missing Labels <br> Youcai Zhang, Yuhao Cheng, Xinyu Huang, Fei Wen, Rui Feng, Yaqian Li, Yandong Guo. <br> arXiv 2022 | [Paper] [Code]

A Patch-Based Architecture for Multi-label Classification from Single Label Annotations <br> Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard. <br> arXiv 2022 | [Paper]

An Effective Approach for Multi-label Classification with Missing Labels <br> Xin Zhang, Rabab Abdelfattah, Yuqi Song, Xiaofeng Wang. <br> arXiv 2022 | [Paper]

Leveraged Asymmetric Loss with Disambiguation for Multi-label Recognition with One-Positive Annotations <br> Jingyi Cui, Tao Huang, Hanyuan Hang, Yisen Wang, James Kwok. <br> OpenReview 2022 | [Paper]

Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels <br> Xiang Li*, Xinrui Wang*, Songcan Chen. <br> arXiv 2023 | [Paper]

Global-Scale Species Mapping From Crowdsourced Data <br> Elijah Cole, Grant Van Horn, Alexander Shepard, Patrick Leary, Scott Loarie, Pietro Perona, Oisin Mac Aodha. <br> OpenReview 2023 | [Paper]

Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition <br> Cheng Chen, Yifan Zhao, Jia Li. <br> arXiv 2023 | [Paper] [Code]

Can Class-Priors Help Single-Positive Multi-Label Learning? <br> Biao Liu, Jie Wang, Ning Xu, Xin Geng. <br> arXiv 2023 | [Paper]

Boosting Single Positive Multi-label Classification with Generalized Robust Loss <br> Yanxi Chen, Chunxiao Li, Xinyang Dai, Jinhuan Li, Weiyu Sun, Yiming Wang, Renyuan Zhang, Tinghe Zhang, Bo Wang. <br> arXiv 2024 | [Paper]

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Acknowledgements

Thanks to all the authors above for their great works!