"pseudo-labeling" Papers
15 papers found
Conference
BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
Haozhao Wang, Shengyu Wang, Jiaming Li et al.
ICML 2025
CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos
Nikita Karaev, Iurii Makarov, Jianyuan Wang et al.
ICCV 2025highlightarXiv:2410.11831
223
citations
Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
Wei Lin, Chenyang ZHAO, Antoni B. Chan
CVPR 2025highlightarXiv:2505.21943
5
citations
Probability-Density-aware Semi-supervised Learning
Shuyang Liu, Ruiqiu Zheng, Yunhang Shen et al.
AAAI 2025paperarXiv:2412.17547
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift
Kaizheng Wang
NEURIPS 2025arXiv:2302.10160
15
citations
Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
Ronghang Zhu, Mengxuan Hu, Weiming Zhuang et al.
CVPR 2025
5
citations
Scale-Free Graph-Language Models
Jianglin Lu, Yixuan Liu, Yitian Zhang et al.
ICLR 2025arXiv:2502.15189
1
citations
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
Qinghe Ma, Jian Zhang, Zekun Li et al.
CVPR 2025arXiv:2503.16997
4
citations
Towards Cost-Effective Learning: A Synergy of Semi-Supervised and Active Learning
Tianxiang Yin, Ningzhong Liu, Han Sun
CVPR 2025
1
citations
Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning
Biao Liu, Ning Xu, Xiangyu Fang et al.
ICML 2024
Federated Learning with Extremely Noisy Clients via Negative Distillation
Yang Lu, Lin Chen, Yonggang Zhang et al.
AAAI 2024paperarXiv:2312.12703
21
citations
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition
Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Shah Mubarak
ECCV 2024arXiv:2409.01448
5
citations
Language-conditioned Detection Transformer
Jang Hyun Cho, Philipp Krähenbühl
CVPR 2024arXiv:2311.17902
6
citations
Mitigating Background Shift in Class-Incremental Semantic Segmentation
gilhan Park, WonJun Moon, SuBeen Lee et al.
ECCV 2024arXiv:2407.11859
12
citations
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
JUNSU KIM, Hoseong Cho, Jihyeon Kim et al.
CVPR 2024highlightarXiv:2402.17323
50
citations