CVPR 2021 Open Access Repository

Learning From Limited or Imperfect Data

Weak Multi-View Supervision for Surface Mapping Estimation: Nishant Rai,

Aidas Liaudanskas,

Srinivas Rao,

Rodrigo Ortiz Cayon,

Matteo Munaro,

Stefan Holzer; [pdf] [arXiv]
[bibtex]
@InProceedings{Rai_2021_CVPR, author = {Rai, Nishant and Liaudanskas, Aidas and Rao, Srinivas and Cayon, Rodrigo Ortiz and Munaro, Matteo and Holzer, Stefan}, title = {Weak Multi-View Supervision for Surface Mapping Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2759-2768} }
Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding: Cesar F. Caiafa,

Ziyao Wang,

Jordi Sole-Casals,

Qibin Zhao; [pdf] [supp]
[bibtex]
@InProceedings{Caiafa_2021_CVPR, author = {Caiafa, Cesar F. and Wang, Ziyao and Sole-Casals, Jordi and Zhao, Qibin}, title = {Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2621-2630} }
Cluster-Driven Graph Federated Learning Over Multiple Domains: Debora Caldarola,

Massimiliano Mancini,

Fabio Galasso,

Marco Ciccone,

Emanuele Rodola,

Barbara Caputo; [pdf] [arXiv]
[bibtex]
@InProceedings{Caldarola_2021_CVPR, author = {Caldarola, Debora and Mancini, Massimiliano and Galasso, Fabio and Ciccone, Marco and Rodola, Emanuele and Caputo, Barbara}, title = {Cluster-Driven Graph Federated Learning Over Multiple Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2749-2758} }
ReMP: Rectified Metric Propagation for Few-Shot Learning: Yang Zhao,

Chunyuan Li,

Ping Yu,

Changyou Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Yang and Li, Chunyuan and Yu, Ping and Chen, Changyou}, title = {ReMP: Rectified Metric Propagation for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2581-2590} }
A Closer Look at Self-Training for Zero-Label Semantic Segmentation: Giuseppe Pastore,

Fabio Cermelli,

Yongqin Xian,

Massimiliano Mancini,

Zeynep Akata,

Barbara Caputo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pastore_2021_CVPR, author = {Pastore, Giuseppe and Cermelli, Fabio and Xian, Yongqin and Mancini, Massimiliano and Akata, Zeynep and Caputo, Barbara}, title = {A Closer Look at Self-Training for Zero-Label Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2693-2702} }
Efficacy of Bayesian Neural Networks in Active Learning: Vineeth Rakesh,

Swayambhoo Jain; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Rakesh_2021_CVPR, author = {Rakesh, Vineeth and Jain, Swayambhoo}, title = {Efficacy of Bayesian Neural Networks in Active Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2601-2609} }
The Role of Data for One-Shot Semantic Segmentation: Timo Luddecke,

Alexander Ecker; [pdf]
[bibtex]
@InProceedings{Luddecke_2021_CVPR, author = {Luddecke, Timo and Ecker, Alexander}, title = {The Role of Data for One-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2653-2658} }
Learning Unbiased Representations via Mutual Information Backpropagation: Ruggero Ragonesi,

Riccardo Volpi,

Jacopo Cavazza,

Vittorio Murino; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ragonesi_2021_CVPR, author = {Ragonesi, Ruggero and Volpi, Riccardo and Cavazza, Jacopo and Murino, Vittorio}, title = {Learning Unbiased Representations via Mutual Information Backpropagation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2729-2738} }
Efficient Pre-Trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation: Youshan Zhang,

Brian D. Davison; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Youshan and Davison, Brian D.}, title = {Efficient Pre-Trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2719-2728} }
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition: Rami Ben-Ari,

Mor Shpigel Nacson,

Ophir Azulai,

Udi Barzelay,

Daniel Rotman; [pdf]
[bibtex]
@InProceedings{Ben-Ari_2021_CVPR, author = {Ben-Ari, Rami and Nacson, Mor Shpigel and Azulai, Ophir and Barzelay, Udi and Rotman, Daniel}, title = {TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2786-2794} }
DAMSL: Domain Agnostic Meta Score-Based Learning: John Cai,

Bill Cai,

Shen Sheng Mei; [pdf]
[bibtex]
@InProceedings{Cai_2021_CVPR, author = {Cai, John and Cai, Bill and Mei, Shen Sheng}, title = {DAMSL: Domain Agnostic Meta Score-Based Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2591-2595} }
Boosting Unconstrained Face Recognition With Auxiliary Unlabeled Data: Yichun Shi,

Anil K. Jain; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shi_2021_CVPR, author = {Shi, Yichun and Jain, Anil K.}, title = {Boosting Unconstrained Face Recognition With Auxiliary Unlabeled Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2795-2804} }
Training Deep Generative Models in Highly Incomplete Data Scenarios With Prior Regularization: Edgar A. Bernal; [pdf]
[bibtex]
@InProceedings{Bernal_2021_CVPR, author = {Bernal, Edgar A.}, title = {Training Deep Generative Models in Highly Incomplete Data Scenarios With Prior Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2631-2641} }
Contrastive Learning Improves Model Robustness Under Label Noise: Aritra Ghosh,

Andrew Lan; [pdf] [arXiv]
[bibtex]
@InProceedings{Ghosh_2021_CVPR, author = {Ghosh, Aritra and Lan, Andrew}, title = {Contrastive Learning Improves Model Robustness Under Label Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2703-2708} }
BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains: Or Patashnik,

Dov Danon,

Hao Zhang,

Daniel Cohen-Or; [pdf]
[bibtex]
@InProceedings{Patashnik_2021_CVPR, author = {Patashnik, Or and Danon, Dov and Zhang, Hao and Cohen-Or, Daniel}, title = {BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2659-2667} }
Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics: Anurag Singh,

Naren Doraiswamy,

Sawa Takamuku,

Megh Bhalerao,

Titir Dutta,

Soma Biswas,

Aditya Chepuri,

Balasubramanian Vengatesan,

Naotake Natori; [pdf]
[bibtex]
@InProceedings{Singh_2021_CVPR, author = {Singh, Anurag and Doraiswamy, Naren and Takamuku, Sawa and Bhalerao, Megh and Dutta, Titir and Biswas, Soma and Chepuri, Aditya and Vengatesan, Balasubramanian and Natori, Naotake}, title = {Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2709-2718} }
Distill on the Go: Online Knowledge Distillation in Self-Supervised Learning: Prashant Bhat,

Elahe Arani,

Bahram Zonooz; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bhat_2021_CVPR, author = {Bhat, Prashant and Arani, Elahe and Zonooz, Bahram}, title = {Distill on the Go: Online Knowledge Distillation in Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2678-2687} }
One-Shot Action Recognition in Challenging Therapy Scenarios: Alberto Sabater,

Laura Santos,

Jose Santos-Victor,

Alexandre Bernardino,

Luis Montesano,

Ana C. Murillo; [pdf] [supp]
[bibtex]
@InProceedings{Sabater_2021_CVPR, author = {Sabater, Alberto and Santos, Laura and Santos-Victor, Jose and Bernardino, Alexandre and Montesano, Luis and Murillo, Ana C.}, title = {One-Shot Action Recognition in Challenging Therapy Scenarios}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2777-2785} }
Boosting Co-Teaching With Compression Regularization for Label Noise: Yingyi Chen,

Xi Shen,

Shell Xu Hu,

Johan A. K. Suykens; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Yingyi and Shen, Xi and Hu, Shell Xu and Suykens, Johan A. K.}, title = {Boosting Co-Teaching With Compression Regularization for Label Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2688-2692} }
PLM: Partial Label Masking for Imbalanced Multi-Label Classification: Kevin Duarte,

Yogesh Rawat,

Mubarak Shah; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Duarte_2021_CVPR, author = {Duarte, Kevin and Rawat, Yogesh and Shah, Mubarak}, title = {PLM: Partial Label Masking for Imbalanced Multi-Label Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2739-2748} }
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaption: Chen-Hao Chao,

Bo-Wun Cheng,

Chun-Yi Lee; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chao_2021_CVPR, author = {Chao, Chen-Hao and Cheng, Bo-Wun and Lee, Chun-Yi}, title = {Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaption}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2610-2620} }
Training Rare Object Detection in Satellite Imagery With Synthetic GAN Images: Eric Martinson,

Bridget Furlong,

Andy Gillies; [pdf]
[bibtex]
@InProceedings{Martinson_2021_CVPR, author = {Martinson, Eric and Furlong, Bridget and Gillies, Andy}, title = {Training Rare Object Detection in Satellite Imagery With Synthetic GAN Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2769-2776} }
Shot in the Dark: Few-Shot Learning With No Base-Class Labels: Zitian Chen,

Subhransu Maji,

Erik Learned-Miller; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Zitian and Maji, Subhransu and Learned-Miller, Erik}, title = {Shot in the Dark: Few-Shot Learning With No Base-Class Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2668-2677} }
One-Shot GAN: Learning To Generate Samples From Single Images and Videos: Vadim Sushko,

Jurgen Gall,

Anna Khoreva; [pdf] [arXiv]
[bibtex]
@InProceedings{Sushko_2021_CVPR, author = {Sushko, Vadim and Gall, Jurgen and Khoreva, Anna}, title = {One-Shot GAN: Learning To Generate Samples From Single Images and Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2596-2600} }
Unlocking the Full Potential of Small Data With Diverse Supervision: Ziqi Pang,

Zhiyuan Hu,

Pavel Tokmakov,

Yu-Xiong Wang,

Martial Hebert; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pang_2021_CVPR, author = {Pang, Ziqi and Hu, Zhiyuan and Tokmakov, Pavel and Wang, Yu-Xiong and Hebert, Martial}, title = {Unlocking the Full Potential of Small Data With Diverse Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2642-2652} }