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Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
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Sorted by citations
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
Qiao, S., Chen, L.-C., & Yuille, A. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.01008 · Cited by 1,245
Self-citationMaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
Wang, H., Zhu, Y., Adam, H., Yuille, A., & Chen, L.-C. (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/cvpr46437.2021.00542 · Cited by 567
Self-citationRethinking Pre-training and Self-trainingPreprint
Zoph, B., Ghiasi, G., Lin, T.-Y., Cui, Y., Liu, H., Cubuk, E. D., & Le, Q. V. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2006.06882 · Cited by 579
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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