:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Engman, Johanna, Åström, Karl, Oskarsson, Magnus
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2411.04596
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Multi-Target TDOA Features for Sound Event Localization and Detection
by: Berg, Axel, et al.
Published: (2024)

SONNET: Enhancing Time Delay Estimation by Leveraging Simulated Audio
by: Tegler, Erik, et al.
Published: (2024)

Improved Anomaly Detection through Conditional Latent Space VAE Ensembles
by: Åström, Oskar, et al.
Published: (2024)

PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
by: Xie, Haoyu, et al.
Published: (2024)

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation
by: Morales-Brotons, Daniel, et al.
Published: (2024)

Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation
by: Zhang, Irina, et al.
Published: (2024)

Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2024)

Semi-Supervised Semantic Segmentation via Marginal Contextual Information
by: Kimhi, Moshe, et al.
Published: (2023)

Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment
by: Li, Yuchen, et al.
Published: (2026)

SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection
by: Tran, Phi Vu
Published: (2024)

Generalized Open-World Semi-Supervised Object Detection
by: Allabadi, Garvita, et al.
Published: (2023)

Accuracy Improvement of Semi-Supervised Segmentation Using Supervised ClassMix and Sup-Unsup Feature Discriminator
by: Mano, Takahiro, et al.
Published: (2026)

Learning to Predict Gradients for Semi-Supervised Continual Learning
by: Luo, Yan, et al.
Published: (2022)

CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation
by: Xiao, Wenbo, et al.
Published: (2025)

Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network
by: Tain, Zhibo, et al.
Published: (2023)

Supercm: Revisiting Clustering for Semi-Supervised Learning
by: Singh, Durgesh, et al.
Published: (2025)

Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
by: Liang, Jiachen, et al.
Published: (2024)

Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
by: Tian, Senmao, et al.
Published: (2025)

Semi-Supervised Learning with Multi-Head Co-Training
by: Chen, Mingcai, et al.
Published: (2021)

Addressing Data Scarcity in 3D Trauma Detection through Self-Supervised and Semi-Supervised Learning with Vertex Relative Position Encoding
by: Chaudhary, Shivam, et al.
Published: (2026)

ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
by: Wallin, Erik, et al.
Published: (2024)

CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
by: Tarubinga, Ebenezer, et al.
Published: (2025)

Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation
by: Öttl, Mathias, et al.
Published: (2024)

Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection
by: Nozarian, Farzad, et al.
Published: (2024)

LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection
by: Tran, Phi Vu
Published: (2023)

Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection
by: Sbeyti, Moussa Kassem, et al.
Published: (2025)

Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning
by: Ye, Bo, et al.
Published: (2023)

RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
by: Han, Haorong, et al.
Published: (2024)

Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
by: Shao, Qian, et al.
Published: (2024)

Leveraging Label Proportion Prior for Class-Imbalanced Semi-Supervised Learning
by: Akiba, Kohki, et al.
Published: (2026)

Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learning
by: Hu, Jiyu, et al.
Published: (2025)

Gridding Forced Displacement using Semi-Supervised Learning
by: Wells, Andrew, et al.
Published: (2025)

FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation
by: Tarubinga, Ebenezer, et al.
Published: (2025)

Enhancing Semi-Supervised Multi-View Graph Convolutional Networks via Supervised Contrastive Learning and Self-Training
by: Xiao, Huaiyuan, et al.
Published: (2025)

Learning to Segment using Summary Statistics and Weak Supervision
by: Kulkarni, Omkar, et al.
Published: (2026)

Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
by: Park, Seongheon, et al.
Published: (2024)

BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
by: Zheng, Hongwei, et al.
Published: (2024)

Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning
by: Fan, Heng-Bo, et al.
Published: (2024)

ProxyFL: A Proxy-Guided Framework for Federated Semi-Supervised Learning
by: Chen, Duowen, et al.
Published: (2026)

Solving Semi-Supervised Few-Shot Learning from an Auto-Annotation Perspective
by: Liu, Tian, et al.
Published: (2025)