Image de couverture de livre

ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wallin, Erik, Svensson, Lennart, Kahl, Fredrik, Hammarstrand, Lars
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Semi-Supervised Hierarchical Open-Set Classification
par: Wallin, Erik, et autres
Publié: (2026)

ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
par: Wallin, Erik, et autres
Publié: (2025)

Exploring Semi-Supervised Learning for Online Mapping
par: Lilja, Adam, et autres
Publié: (2024)

ARTA: Adaptive Mixed-Resolution Token Allocation for Efficient Dense Feature Extraction
par: Hagerman, David, et autres
Publié: (2026)

Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes
par: Naeem, Roman, et autres
Publié: (2025)

NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds
par: Rafidashti, Mahan, et autres
Publié: (2025)

Addressing degeneracies in latent interpolation for diffusion models
par: Landolsi, Erik, et autres
Publié: (2025)

IDSplat: Instance-Decomposed 3D Gaussian Splatting for Driving Scenes
par: Lindström, Carl, et autres
Publié: (2025)

SwInception -- Local Attention Meets Convolutions
par: Hagerman, David, et autres
Publié: (2026)

Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap
par: Lindström, Carl, et autres
Publié: (2024)

Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It
par: Lilja, Adam, et autres
Publié: (2023)

QueryOcc: Query-based Self-Supervision for 3D Semantic Occupancy
par: Lilja, Adam, et autres
Publié: (2025)

Weakly-Supervised Lung Nodule Segmentation via Training-Free Guidance of 3D Rectified Flow
par: Petersen, Richard, et autres
Publié: (2026)

Collaborative Feature-Logits Contrastive Learning for Open-Set Semi-Supervised Object Detection
par: Zhong, Xinhao, et autres
Publié: (2024)

Knowledge Distillation Meets Open-Set Semi-Supervised Learning
par: Yang, Jing, et autres
Publié: (2022)

Activation Subspaces for Out-of-Distribution Detection
par: Zöngür, Barış, et autres
Publié: (2025)

MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection
par: Brorsson, Erik, et autres
Publié: (2024)

Open-Set Semi-Supervised Learning for Long-Tailed Medical Datasets
par: Kareem, Daniya Najiha A., et autres
Publié: (2025)

Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning
par: Tan, Qida, et autres
Publié: (2026)

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
par: Du, Chaoqun, et autres
Publié: (2024)

Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations
par: Ding, Yifan, et autres
Publié: (2025)

Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
par: Landolsi, Erik, et autres
Publié: (2024)

ECAP: Extensive Cut-and-Paste Augmentation for Unsupervised Domain Adaptive Semantic Segmentation
par: Brorsson, Erik, et autres
Publié: (2024)

Geometric Consistency Refinement for Single Image Novel View Synthesis via Test-Time Adaptation of Diffusion Models
par: Bengtson, Josef, et autres
Publié: (2025)

OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
par: Miao, Wenjun, et autres
Publié: (2024)

Exploring the Boundaries of Semi-Supervised Facial Expression Recognition using In-Distribution, Out-of-Distribution, and Unconstrained Data
par: Roy, Shuvendu, et autres
Publié: (2023)

Credible Teacher for Semi-Supervised Object Detection in Open Scene
par: Zhuang, Jingyu, et autres
Publié: (2024)

Beyond Chamfer Distance: Granular Order-aware Evaluation Metric For Online Mapping
par: Lehocine, Chouaib Bencheikh, et autres
Publié: (2026)

VirPro: Visual-referred Probabilistic Prompt Learning for Weakly-Supervised Monocular 3D Detection
par: Liu, Chupeng, et autres
Publié: (2026)

Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
par: Park, Seongheon, et autres
Publié: (2024)

Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary Model
par: Shin, Wooseok, et autres
Publié: (2025)

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
par: Wang, Fuyun, et autres
Publié: (2025)

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
par: Guille-Escuret, Charles, et autres
Publié: (2022)

Improving Wildlife Out-of-Distribution Detection: Africas Big Five
par: Muthivhi, Mufhumudzi, et autres
Publié: (2025)

Component-Based Out-of-Distribution Detection
par: Liu, Wenrui, et autres
Publié: (2026)

Dissecting Out-of-Distribution Detection and Open-Set Recognition: A Critical Analysis of Methods and Benchmarks
par: Wang, Hongjun, et autres
Publié: (2024)

Generalized Open-World Semi-Supervised Object Detection
par: Allabadi, Garvita, et autres
Publié: (2023)

Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood Information
par: Chelani, Kunal, et autres
Publié: (2024)

TSRE: Channel-Aware Typical Set Refinement for Out-of-Distribution Detection
par: Gao, Weijun, et autres
Publié: (2025)

Prompt Optimization Meets Subspace Representation Learning for Few-shot Out-of-Distribution Detection
par: Sayem, Faizul Rakib, et autres
Publié: (2025)