Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Wangkai, Sun, Rui, Li, Zhaoyang, Zhang, Tianzhu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DA-Cal: Towards Cross-Domain Calibration in Semantic Segmentation
by: Li, Wangkai, et al.
Published: (2026)
by: Li, Wangkai, et al.
Published: (2026)
Balanced Learning for Domain Adaptive Semantic Segmentation
by: Li, Wangkai, et al.
Published: (2025)
by: Li, Wangkai, et al.
Published: (2025)
Adaptive Augmentation-Aware Latent Learning for Robust LiDAR Semantic Segmentation
by: Li, Wangkai, et al.
Published: (2026)
by: Li, Wangkai, et al.
Published: (2026)
Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation
by: Li, Wangkai, et al.
Published: (2024)
by: Li, Wangkai, et al.
Published: (2024)
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation
by: Li, Zhaoyang, et al.
Published: (2024)
by: Li, Zhaoyang, et al.
Published: (2024)
Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation
by: Wang, Yuan, et al.
Published: (2024)
by: Wang, Yuan, et al.
Published: (2024)
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
by: Wang, Haochen, et al.
Published: (2023)
by: Wang, Haochen, et al.
Published: (2023)
Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation
by: Pan, Yuwen, et al.
Published: (2024)
by: Pan, Yuwen, et al.
Published: (2024)
Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey
by: Ran, Lingyan, et al.
Published: (2024)
by: Ran, Lingyan, et al.
Published: (2024)
HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
by: Jing, Linglin, et al.
Published: (2024)
by: Jing, Linglin, et al.
Published: (2024)
Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation
by: Zhang, Xinliang, et al.
Published: (2025)
by: Zhang, Xinliang, et al.
Published: (2025)
Emerging Trends in Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation with Image-Level Supervision
by: Zhang, Zheyuan, et al.
Published: (2025)
by: Zhang, Zheyuan, et al.
Published: (2025)
Semi-supervised Video Semantic Segmentation Using Unreliable Pseudo Labels for PVUW2024
by: Wu, Biao, et al.
Published: (2024)
by: Wu, Biao, et al.
Published: (2024)
Unsupervised Semantic Segmentation in Synchrotron Computed Tomography with Self-Correcting Pseudo Labels
by: Yunker, Austin, et al.
Published: (2026)
by: Yunker, Austin, et al.
Published: (2026)
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels
by: Shin, Heeseong, et al.
Published: (2024)
by: Shin, Heeseong, et al.
Published: (2024)
Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels
by: Dünkel, Olaf, et al.
Published: (2025)
by: Dünkel, Olaf, et al.
Published: (2025)
When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation
by: Liu, Pan, et al.
Published: (2025)
by: Liu, Pan, et al.
Published: (2025)
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation
by: Yang, Mingyu, et al.
Published: (2025)
by: Yang, Mingyu, et al.
Published: (2025)
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction
by: Zhang, Quan, et al.
Published: (2025)
by: Zhang, Quan, et al.
Published: (2025)
A Semi-Supervised Framework for Breast Ultrasound Segmentation with Training-Free Pseudo-Label Generation and Label Refinement
by: Li, Ruili, et al.
Published: (2026)
by: Li, Ruili, et al.
Published: (2026)
Towards Real Zero-Shot Camouflaged Object Segmentation without Camouflaged Annotations
by: Lei, Cheng, et al.
Published: (2024)
by: Lei, Cheng, et al.
Published: (2024)
Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation
by: Saito, Nagito, et al.
Published: (2025)
by: Saito, Nagito, et al.
Published: (2025)
Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation
by: Ghamsarian, Negin, et al.
Published: (2025)
by: Ghamsarian, Negin, et al.
Published: (2025)
Pseudo-Label Refinement for Robust Wheat Head Segmentation via Two-Stage Hybrid Training
by: Jiang, Jiahao, et al.
Published: (2025)
by: Jiang, Jiahao, et al.
Published: (2025)
Prototype-Based Pseudo-Label Denoising for Source-Free Domain Adaptation in Remote Sensing Semantic Segmentation
by: Wang, Bin, et al.
Published: (2025)
by: Wang, Bin, et al.
Published: (2025)
COARSE: Collaborative Pseudo-Labeling with Coarse Real Labels for Off-Road Semantic Segmentation
by: Noca, Aurelio, et al.
Published: (2025)
by: Noca, Aurelio, et al.
Published: (2025)
Unsupervised Domain Adaptation for 3D LiDAR Semantic Segmentation Using Contrastive Learning and Multi-Model Pseudo Labeling
by: Kaushik, Abhishek, et al.
Published: (2025)
by: Kaushik, Abhishek, et al.
Published: (2025)
Data-Efficient Semantic Segmentation of 3D Point Clouds via Open-Vocabulary Image Segmentation-based Pseudo-Labeling
by: Furuya, Takahiko
Published: (2026)
by: Furuya, Takahiko
Published: (2026)
Frequency Domain Modality-invariant Feature Learning for Visible-infrared Person Re-Identification
by: Li, Yulin, et al.
Published: (2024)
by: Li, Yulin, et al.
Published: (2024)
3D Weakly Supervised Semantic Segmentation via Class-Aware and Geometry-Guided Pseudo-Label Refinement
by: Xu, Xiaoxu, et al.
Published: (2025)
by: Xu, Xiaoxu, et al.
Published: (2025)
Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation
by: Lin, Jianghang, et al.
Published: (2025)
by: Lin, Jianghang, et al.
Published: (2025)
Dual Cross-image Semantic Consistency with Self-aware Pseudo Labeling for Semi-supervised Medical Image Segmentation
by: Wu, Han, et al.
Published: (2025)
by: Wu, Han, et al.
Published: (2025)
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
by: Gao, Zhitong, et al.
Published: (2024)
by: Gao, Zhitong, et al.
Published: (2024)
Domain Adaptation Using Pseudo Labels
by: Chhabra, Sachin, et al.
Published: (2024)
by: Chhabra, Sachin, et al.
Published: (2024)
DBF-UNet: A Two-Stage Framework for Carotid Artery Segmentation with Pseudo-Label Generation
by: Li, Haoxuan, et al.
Published: (2025)
by: Li, Haoxuan, et al.
Published: (2025)
MedFact-R1: Towards Factual Medical Reasoning via Pseudo-Label Augmentation
by: Li, Gengliang, et al.
Published: (2025)
by: Li, Gengliang, et al.
Published: (2025)
Tokenizing Semantic Segmentation with Run Length Encoding
by: Singh, Abhineet, et al.
Published: (2026)
by: Singh, Abhineet, et al.
Published: (2026)
Semantic-aware SAM for Point-Prompted Instance Segmentation
by: Wei, Zhaoyang, et al.
Published: (2023)
by: Wei, Zhaoyang, et al.
Published: (2023)
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation
by: Lu, Jiahao, et al.
Published: (2024)
by: Lu, Jiahao, et al.
Published: (2024)
Rethinking Guidance Information to Utilize Unlabeled Samples:A Label Encoding Perspective
by: Zhang, Yulong, et al.
Published: (2024)
by: Zhang, Yulong, et al.
Published: (2024)
Similar Items
-
DA-Cal: Towards Cross-Domain Calibration in Semantic Segmentation
by: Li, Wangkai, et al.
Published: (2026) -
Balanced Learning for Domain Adaptive Semantic Segmentation
by: Li, Wangkai, et al.
Published: (2025) -
Adaptive Augmentation-Aware Latent Learning for Robust LiDAR Semantic Segmentation
by: Li, Wangkai, et al.
Published: (2026) -
Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation
by: Li, Wangkai, et al.
Published: (2024) -
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation
by: Li, Zhaoyang, et al.
Published: (2024)