The DOI matches its Crossref record; 94 of the 97 references it cites were found in a registry or an index.
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
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“It also performs better than MAE on ImageNet-C, but falls behind DINO [12] and MoCo-v3 [17].”
From MultiMAE: Multi-modal Multi-task Masked Autoencoders (2022) · cites this paper as [12]
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Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Chen, X., Yuan, Y., Zeng, G., & Wang, J. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00264 · Cited by 1,389
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
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Self-citationMaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
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Self-citationRethinking Pre-training and Self-trainingPreprint
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Self-citationExtract Free Dense Labels from CLIP
Zhou, C., Loy, C. C., & Dai, B. (2022) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-19815-1_40 · Cited by 513
Metadata
- Authors
- Chen, L.-C., Lopes, R. G., Cheng, B., Collins, M. D., Cubuk, E. D., Zoph, B., Adam, H., & Shlens, J.
- Affiliations
- Google (United States) (US)
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Chen, Liang-Chieh
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 695-714
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3110002552
- Cited by
- 165
- References
- 97
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 19 · 2023: 34 · 2022: 44 · 2021: 50 · 2020: 7
- FWCI
- 10.41
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
- Keywords
- semi-supervised learning, urban scene segmentation, video sequences, pseudo-labeling, instance segmentation, panoptic segmentation, semantic segmentation, cityscape, label propagation, unlabeled data
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