% Key papers for Pseudo-labeling for semi-supervised detection (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2018_data_12947, title = {{Data Distillation: Towards Omni-Supervised Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Radosavovic_Data_Distillation_Towards_CVPR_2018_paper.html}, } @inproceedings{neurips2019_consistency_58032, title = {{Consistency-based Semi-supervised Learning for Object detection}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/14079}, } @inproceedings{cvpr2021_instant_17192, title = {{Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2021_humble_17142, title = {{Humble Teachers Teach Better Students for Semi-Supervised Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2016_large_11640, title = {{Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{cvpr2021_interactive_17195, title = {{Interactive Self-Training With Mean Teachers for Semi-Supervised Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{aaai2020_weak_99997, title = {{Weak Supervision for Fake News Detection via Reinforcement Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5389}, } @inproceedings{cvpr2022_unbiased_20112, title = {{Unbiased Teacher v2: Semi-Supervised Object Detection for Anchor-Free and Anchor-Based Detectors}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2022_detreg_18573, title = {{DETReg: Unsupervised Pretraining With Region Priors for Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2022_label_19155, title = {{Label, Verify, Correct: A Simple Few Shot Object Detection Method}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2023_consistent_20635, title = {{Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/21676}, } @inproceedings{aaai2022_rethinking_2645, title = {{Rethinking Pseudo Labels for Semi-supervised Object Detection}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/01314-rethinking-pseudo-labels-for-semi-supervised-object-detection/}, } @inproceedings{cvpr2022_active_18254, title = {{Active Teacher for Semi-Supervised Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2022_label_19153, title = {{Label Matching Semi-Supervised Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2021_data_16800, title = {{Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2021_points_17623, title = {{Points As Queries: Weakly Semi-Supervised Object Detection by Points}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2022_dense_18645, title = {{Dense Learning Based Semi-Supervised Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2023_semi_22173, title = {{Semi-DETR: Semi-Supervised Object Detection With Detection Transformers}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/23144}, } @inproceedings{cvpr2023_sood_22109, title = {{SOOD: Towards Semi-Supervised Oriented Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22672}, } @inproceedings{cvpr2023_ambiguity_20384, title = {{Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/23041}, } @inproceedings{cvpr2024_sparse_24861, title = {{Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30138}, } @inproceedings{cvpr2024_hinted_23660, title = {{HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30261}, } @inproceedings{cvpr2024_leod_23890, title = {{LEOD: Label-Efficient Object Detection for Event Cameras}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29443}, } @inproceedings{cvpr2024_relational_24611, title = {{Relational Matching for Weakly Semi-Supervised Oriented Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31124}, } @inproceedings{aaai2024_dual_5760, title = {{Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/27976}, } @inproceedings{cvpr2024_a_22673, title = {{A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30530}, } @inproceedings{aaai2025_multi_10046, title = {{Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32816}, } @inproceedings{cvpr2025_ucod_27965, title = {{UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33176}, } @inproceedings{iclr2025_pointobb_82124, title = {{PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29665}, } @inproceedings{aaai2024_leveraging_6523, title = {{Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/27948}, } @inproceedings{cvpr2025_pointsr_27272, title = {{PointSR: Self-Regularized Point Supervision for Drone-View Object Detection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33477}, } @inproceedings{aaai2026_sevil_100525, title = {{SeViL: Semi-supervised Vision-Language Learning with Text Prompt Guiding for Moving Infrared Small Target Detection}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/37372}, } @inproceedings{aaai2026_rsod_102584, title = {{RSOD: Reliability-Guided Sonar Image Object Detection with Extremely Limited Labels}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/37529}, } @inproceedings{aaai2026_s_104105, title = {{S²Teacher: Step-by-step Teacher for Sparsely Annotated Oriented Object Detection}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/37634}, } @inproceedings{aaai2026_soar_104142, title = {{SOAR: Semi-Supervised Open-Vocabulary Aerial Object Detection via Dual-Aware Enhanced Prior Denoising}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/37671}, } @inproceedings{aaai2025_as_8145, title = {{As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object Detection}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33020}, } @inproceedings{neurips2024_a_73553, title = {{A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/97541}, } @inproceedings{neurips2025_eldet_76370, title = {{ELDET: Early-Learning Distillation with Noisy Labels for Object Detection}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=IWEc6kpy8O}, } @inproceedings{iclr2026_spwood_86416, title = {{SPWOOD: Sparse Partial Weakly-Supervised Oriented Object Detection}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=PXaboOpwGv}, } @inproceedings{neurips2026_object_91022, title = {{Object Detection Benchmarks are Incomplete: The Role of Label Errors and Annotation Uncertainty}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/139282}, }