"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