Image de couverture de livre

De-Confusing Pseudo-Labels in Source-Free Domain Adaptation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Diamant, Idit, Rosenfeld, Amir, Achituve, Idan, Goldberger, Jacob, Netzer, Arnon
Format:	Preprint
Publié:	2024
Sujets:	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

Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo
par: Achituve, Idan, et autres
Publié: (2025)

Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
par: Achituve, Idan, et autres
Publié: (2024)

Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation
par: Chen, Xi, et autres
Publié: (2024)

Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy
par: Penso, Coby, et autres
Publié: (2024)

Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation
par: Schlachter, Pascal, et autres
Publié: (2025)

Efficient Image Restoration via Latent Consistency Flow Matching
par: Cohen, Elad, et autres
Publié: (2025)

Closing the Confusion Loop: CLIP-Guided Alignment for Source-Free Domain Adaptation
par: Wang, Shanshan, et autres
Publié: (2026)

Label Calibration in Source Free Domain Adaptation
par: Rai, Shivangi, et autres
Publié: (2025)

Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
par: Meng, Xinru, et autres
Publié: (2025)

Prototype-Based Pseudo-Label Denoising for Source-Free Domain Adaptation in Remote Sensing Semantic Segmentation
par: Wang, Bin, et autres
Publié: (2025)

Domain Adaptation Using Pseudo Labels
par: Chhabra, Sachin, et autres
Publié: (2024)

Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain Adaptation
par: Pulakurthi, Prasanna Reddy, et autres
Publié: (2025)

Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model
par: Schlachter, Pascal, et autres
Publié: (2024)

Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation
par: Maracani, Andrea, et autres
Publié: (2024)

A Conformal Prediction Score that is Robust to Label Noise
par: Penso, Coby, et autres
Publié: (2024)

Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
par: Zou, Yawen, et autres
Publié: (2024)

Unified Source-Free Domain Adaptation
par: Tang, Song, et autres
Publié: (2024)

ElimPCL: Eliminating Noise Accumulation with Progressive Curriculum Labeling for Source-Free Domain Adaptation
par: Cheng, Jie, et autres
Publié: (2025)

Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation
par: Yoon, Ilhoon, et autres
Publié: (2024)

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection
par: Fu, Zehua, et autres
Publié: (2025)

Proxy Denoising for Source-Free Domain Adaptation
par: Tang, Song, et autres
Publié: (2024)

Agile Multi-Source-Free Domain Adaptation
par: Li, Xinyao, et autres
Publié: (2024)

GMM-COMET: Continual Source-Free Universal Domain Adaptation via a Mean Teacher and Gaussian Mixture Model-Based Pseudo-Labeling
par: Schlachter, Pascal, et autres
Publié: (2026)

Lay-A-Scene: Personalized 3D Object Arrangement Using Text-to-Image Priors
par: Rahamim, Ohad, et autres
Publié: (2024)

One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling
par: Abedi, Ali, et autres
Publié: (2025)

SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image Segmentation
par: Liu, Xinya, et autres
Publié: (2025)

Source-Free Domain Adaptation with Vision-Language Prior
par: Tang, Song, et autres
Publié: (2026)

Domain Adaptation Using Pseudo Labels for COVID-19 Detection
par: Yuan, Runtian, et autres
Publié: (2024)

Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation
par: Yu, Yeonguk, et autres
Publié: (2024)

Source-free Video Domain Adaptation by Learning from Noisy Labels
par: Dasgupta, Avijit, et autres
Publié: (2023)

Source-Free Domain Adaptation with Frozen Multimodal Foundation Model
par: Tang, Song, et autres
Publié: (2023)

Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling
par: Li, Haoran, et autres
Publié: (2024)

Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments
par: Zhi, Churan, et autres
Publié: (2024)

Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
par: Shu, Yangyang, et autres
Publié: (2024)

Source-Free Domain Adaptation by Optimizing Batch-Wise Cosine Similarity
par: Pathak, Harsharaj, et autres
Publié: (2026)

Source-Free Domain Adaptation for Geospatial Point Cloud Semantic Segmentation
par: Gao, Yuan, et autres
Publié: (2026)

Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
par: Huang, Yuyang, et autres
Publié: (2025)

EPTQ: Enhanced Post-Training Quantization via Hessian-guided Network-wise Optimization
par: Gordon, Ofir, et autres
Publié: (2023)

SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection
par: Kothandaraman, Divya, et autres
Publié: (2022)

Training-Free Label Space Alignment for Universal Domain Adaptation
par: Lee, Dujin, et autres
Publié: (2025)