Pseudo-Labeling

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19 papers in the last four weeks, up 90% on the four weeks before. 0.2% of all new papers.

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Towards a Pseudo-Labeling Workflow for Celltype-Classification from Explanted Brain Slice Recordings
Jun 15, 2026Cora Jostock, Jonas Ort, Henner Koch +2Unsupervised Clustering Pseudo-Labeling
University of Duisburg-Essen, Intelligent Embedded Systems Lab, Duisburg, Germany · RWTH University Hospital, Department of Neurosurgery, Aachen, Germany · RWTH University Hospital, Department of Epileptology, Aachen, Germany
Scene-Adaptive Nonlinear Tone Curves for Pseudo Ground-Truth Generation in Low-Light 3D Gaussian Splatting
Jun 10, 2026Mingzhe Lyu, Jinqiang Cui, Hong Zhang3D Gaussian Splatting Image Enhancement
Shenzhen Key Laboratory of Robotics and Computer Vision, Southern University of Science and Technology, Shenzhen, 518055, China. · Pengcheng Laboratory, Shenzhen, 518108, China.
Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching
Jun 10, 2026Zhuoyi Peng, Hanlin Gu, Lixin Fan +1Graph Representation Learning Text-Attributed Graph Learning
1The Hong Kong University of Science and Technology · 2WeBank
Exploring Easy Boosts for Lidar Semantic Scene Completion
Jun 2, 2026Tetiana Martyniuk, Jonathan Seele, Alexandre Boulch +33D Semantic Segmentation Pseudo-Labeling
Inria, France · ETH Zurich, Switzerland · valeo.ai, France +1
Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
Jun 1, 2026Kumar Abhishek, Ghassan HamarnehSemi-Supervised Medical Image Segmentation Medical Image Segmentation
School of Computing Science, Simon Fraser University, Canada
Safe-Subspace Pseudo-Label Refinement for Source-Free Graph Domain Adaptation
May 30, 2026Yingxu Wang, Xinwang Liu, Siyang Gao +1Source-Free Domain Adaptation Pseudo-Labeling
Department of Computer Science and Engineering, Chinese University of Hong Kong · College of Computer, National University of Defense Technology, Changsha, 410073, China · Department of Data Science, City University of Hong Kong +1
From Local Geometry to Global Pseudo Labeling for Robust Positive Unlabeled Learning under Covariate Shift
May 29, 2026Firas Gabetni, Alexandre Rocchi Henry, Nacim Belkhir +2Distribution Shift Robustness Covariate Shift
U2IS, ENSTA · Institut Polytechnique de Paris · AMIAD, Pôle Recherche, Palaiseau
GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object Detection
May 28, 2026Jiacong Liu, Shu Luo, Yikai Qin +3Synthetic Data Augmentation Few-Shot Domain Adaptation
Huazhong University of Science and Technology
Learning to Label: A Reinforced Self-Evolving Framework for Semi-supervised Referring Expression Segmentation
May 27, 2026Runlong Cao, Ying Zang, Chuanwei Zhou +4Referring Expression Segmentation Pseudo-Labeling
School of Computer Science and Engineering, Nanjing University of Science and Technology · School of Information Engineering, Huzhou Normal University · School of Artificial Intelligence, Nanjing University of Posts and Telecommunications +3
SAM-Enhanced Segmentation on Road Datasets: Balancing Critical Classes in Autonomous Driving
May 27, 2026Toomas Tahves, Mauro Bellone, Junyi Gu +1Autonomous Driving Datasets Pseudo-Labeling
Department of Mechanical and Industrial Engineering, Tallinn University of Technology, Estonia · FinEst Centre for Smart Cities, Tallinn University of Technology, Estonia · Department of Computer Science and Engineering, Universitas Mercatorum, Rome, Italy +2
SAM3-Assisted Training of Lightweight YOLO Models for Precision Pig Farming
May 25, 2026Marcos Vinicius Mendes Faria, Thiago Borges Pereira, Isabella C. F. S. Condotta +2Edge Inference Pseudo-Labeling
Coordenadoria de Inform´atica, Instituto Federal do Esp´ırito Santo (IFES), Serra, ES · Department of Animal Sciences, University of Illinois at Urbana-Champaign, USA
Are We Overconfident in Models and Results for Semi-Supervised 3D Medical Image Segmentation?
May 25, 2026Jun Li, Ziwei QinBenchmark Contamination Semi-Supervised Medical Image Segmentation
Institute of Systems Science and Technology, School of Electrical Engineering, Southwest Jiaotong University, China.
Enhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures
May 24, 2026Hanzala Afzaal, Danish Memon, Chouhdary Bilal Raza +1Class-Imbalanced Learning Network Intrusion Detection
School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan
Diffuse to Detect: Bi-Level Sample Rebalancing with Pseudo-Label Diffusion for Point-Supervised Infrared Small-Target Detection
May 20, 2026Zhu Liu, Yuanhang Yao, Ping Qian +2Infrared Small Target Detection Pseudo-Labeling
School of Software Technology, Dalian University of Technology, Dalian, China.
STAR-IOD: Scale-decoupled Topology Alignment with Pseudo-label Refinement for Remote Sensing Incremental Object Detection
May 20, 2026Yaoteng Zhang, Qing Zhou, Junyu Gao +1Pseudo-Labeling Object Detection
School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China · School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an 710072, China · Northwestern Polytechnical University, Xi’an 710072, China
Semi-LAR: Semi-supervised Contrastive Learning with Linear Attention for Removal of Nighttime Flares
May 18, 2026Xiyu Zhu, Wei Wang, Kui Jiang +1Contrastive Learning Image Restoration
School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China · Faculty of Computing, Harbin Institute of Technology, Harbin 150001, China · SRO department, Institute for Infocomm Research, A*STAR, Singapore.
Weakly Supervised Segmentation as Semantic-Based Regularization
May 13, 2026Stefano Colamonaco, Andrei-Bogdan Florea, Jaron MaeneImage Segmentation Weakly Supervised Image Segmentation
KU Leuven · Apixa
When to Trust Confidence Thresholding: Calibration Diagnostics for Pseudo-Labelled Regression
May 12, 2026Marcell T. KurbuczProbability Calibration Pseudo-Labeling
Institute for Global Prosperity, The Bartlett, University College London, 9–11 Endsleigh Gardens, London, WC1H 0EH, United Kingdom
Optimization in Sparse 2D to Dense 3D Weakly Supervised Learning: Application to Multi-Label Segmentation of Large ex vivo MRI Data
May 12, 2026Paul Hoareau, Kuan Yi Wang, Brandon Bujak +6Weakly Supervised Image Segmentation Weakly Supervised Semantic Segmentation
NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada · ´Ecole Centrale de Lyon, Lyon, France · Mila - Quebec AI Institute, Montreal, QC, Canada +9
A Semi-Supervised Framework for Speech Confidence Detection using Whisper
May 12, 2026Adam Wynn, Jingyun WangAudio Understanding Pseudo-Labeling
Department of Computer Science, Durham, United Kingdom, DH1 3DF
VVitCutLER: Towards Unsupervised Object Detection and Segmentation in Videos
May 11, 2026Zhijing Lu, Khurram Azeem Hashmi, Didier Stricker +1Video Object Segmentation Instance Segmentation
RPTU University of Kaiserslautern-Landau, Germany · German Research Center for Artificial Intelligence, Germany
Egocentric Whole-Body Human Mesh Recovery with Prior-Guided Learning
May 9, 2026Soyeon Na, Seung Young Noh, Ju Yong Chang3D Reconstruction Human Mesh Recovery
Dept of ECE, Kwangwoon University, Seoul, Korea
Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning
May 8, 2026Yaxin Hou, Jun Ma, Hanyang Li +3Graph-Based Semi-Supervised Learning Pseudo-Labeling
School of Computer Science and Engineering, Southeast University, Nanjing, China. · School of Electrical Engineering, Southeast University, Nanjing, China. · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, Nanjing, China.
WILD SAM: A Simulated-and-Real Data Augmentation for Autonomous Driving Perception under Challenging Weather
May 1, 2026Hamed Khatounabadi, Xiaohu Lu, Hayder RadhaSynthetic-to-Real Domain Adaptation Unsupervised Domain Adaptation
Electrical and Computer Engineering Michigan State University East Lansing, USA
Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection
Apr 25, 2026Sanghoon Lee, Geon Lee, Hyekang Park +1Open-Vocabulary Object Detection Probability Calibration
Yonsei University · Korea Institute of Science and Technology (KIST)
DualSplat: Robust 3D Gaussian Splatting via Pseudo-Mask Bootstrapping from Reconstruction Failures
Apr 23, 2026Xu Wang, Zhiru Wang, Shiyun Xie +2Multi-View Consistency 3D Gaussian Splatting
1Beihang University · 2Peking University
JEPAMatch: Geometric Representation Shaping for Semi-Supervised Learning
Apr 22, 2026Ali Aghababaei-Harandi, Aude Sportisse, Massih-Reza AminiRepresentation Learning Geometric Representation Learning
Université Grenoble Alpes, CNRS, Computer Science Laboratory LIG, Grenoble, France
PanDA: Unsupervised Domain Adaptation for Multimodal 3D Panoptic Segmentation in Autonomous Driving
Apr 21, 2026Yining Pan, Shijie Li, Yuchen Wu +2Unsupervised Domain Adaptation Multimodal Robustness
Singapore University of Technology and Design · Institute for Infocomm Research (I2R), A*STAR, Singapore
Enhancing Tabular Anomaly Detection via Pseudo-Label-Guided Generation
Apr 20, 2026Wei Huang, Yuxuan Xiong, Hezhe Qiao +3Tabular Anomaly Detection Pseudo-Labeling
From Articles to Canopies: Knowledge-Driven Pseudo-Labelling for Tree Species Classification using LLM Experts
Apr 17, 2026Michał Romaszewski, Dominik Kopeć, Michał Cholewa +6Tree Species Classification Graph-Based Semi-Supervised Learning
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, Gliwice, 44-100, Poland · University of Lodz, Narutowicza 68, 90-136, Lodz, Poland · MGGP Aero, Kaczkowskiego 6, 33-100, Tarnów, Poland +1

Jun 15, 2026, q-bio.QMJ/K move · Enter open · S save

Towards a Pseudo-Labeling Workflow for Celltype-Classification from Explanted Brain Slice Recordings

Cora Jostock, Jonas Ort, Henner Koch, Gregor Schiele+1

University of Duisburg-Essen, Intelligent Embedded Systems Lab, Duisburg, Germany · RWTH University Hospital, Department of Neurosurgery, Aachen, Germany · RWTH University Hospital, Department of Epileptology, Aachen, Germany

Unsupervised Clustering Pseudo-Labeling

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This paper proposes an unsupervised workflow to pseudo-label extracellular spikes from human brain slice MEA recordings into two putative cell types: pyramidal cells and interneurons. Here, the raw data from the data acquisition system is used and processed. The pipeline for pre-processing includes bandpass filtering, threshold--based spike detection, frame alignment and normalization. In the ML workflow, dimensionality reduction (PCA, t-SNE, UMAP), clustering (GMM, k-means). To achieve an online system, template matching and OSort under varying curation strictness is also considered. All pipelines are evaluated by different cluster quality with within-cluster Pearson correlation, Silhouette score, and Calinski-Harabasz index. Applying stricter curation improves separation at some cost to inclusivity.

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