"pseudo-label generation" Papers
13 papers found
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning
Hairui Ren, Fan Tang, He Zhao et al.
CVPR 2025posterarXiv:2504.11930
Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
Yuyang Huang, Yabo Chen, Junyu Zhou et al.
NeurIPS 2025posterarXiv:2510.25279
Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following Labels
Pierre Vuillecard, Jean-marc Odobez
CVPR 2025posterarXiv:2502.20249
7
citations
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
Yaxin Hou, Bo Han, Yuheng Jia et al.
NeurIPS 2025posterarXiv:2510.03993
Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels
Qiming Xia, Wenkai Lin, Haoen Xiang et al.
CVPR 2025posterarXiv:2503.08421
4
citations
LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models
Ziqi Lu, Heng Yang, Danfei Xu et al.
ICLR 2025posterarXiv:2412.07746
11
citations
Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection
Yucheng Han, Na Zhao, Weiling Chen et al.
AAAI 2024paperarXiv:2401.05011
5
citations
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI
Qinqian Lei, Bo Wang, Robby T. Tan
AAAI 2024paperarXiv:2312.10586
Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation
Xinliang Zhang, Lei Zhu, Hangzhou He et al.
AAAI 2024paperarXiv:2402.17555
13
citations
SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation
AAAI 2024paperarXiv:2401.11719
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
Chaoqun Du, Yizeng Han, Gao Huang
ICML 2024poster
Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning
Chengcheng Ma, Ismail Elezi, Jiankang Deng et al.
AAAI 2024paperarXiv:2312.15702
16
citations
Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation
Xinyu Yang, Hossein Rahmani, Sue Black et al.
ECCV 2024posterarXiv:2402.17891
5
citations