Cover Image

Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maracani, Andrea, Rosasco, Lorenzo, Natale, Lorenzo
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis
by: Maracani, Andrea, et al.
Published: (2024)

Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors
by: Caddeo, Gabriele M., et al.
Published: (2023)

Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation
by: Chen, Xi, et al.
Published: (2024)

De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
by: Diamant, Idit, et al.
Published: (2024)

Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
by: Zou, Yawen, et al.
Published: (2024)

Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation
by: Schlachter, Pascal, et al.
Published: (2025)

One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling
by: Abedi, Ali, et al.
Published: (2025)

Label Calibration in Source Free Domain Adaptation
by: Rai, Shivangi, et al.
Published: (2025)

Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot
by: Ceola, Federico, et al.
Published: (2022)

Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
by: Meng, Xinru, 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)

Domain Adaptation Using Pseudo Labels
by: Chhabra, Sachin, et al.
Published: (2024)

Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain Adaptation
by: Pulakurthi, Prasanna Reddy, et al.
Published: (2025)

Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model
by: Schlachter, Pascal, et al.
Published: (2024)

A Baseline Study and Benchmark for Few-Shot Open-Set Action Recognition with Feature Residual Discrimination
by: Berti, Stefano, et al.
Published: (2026)

Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
by: Shu, Yangyang, et al.
Published: (2024)

Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling
by: Li, Haoran, et al.
Published: (2024)

Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection
by: Zhang, Zhanwei, et al.
Published: (2024)

Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation
by: Wang, Yucheng, et al.
Published: (2024)

Model Adaptation: Unsupervised Domain Adaptation without Source Data
by: Li, Rui, et al.
Published: (2025)

A Tale of Two Experts: Cooperative Learning for Source-Free Unsupervised Domain Adaptation
by: Yu, Jiaping, et al.
Published: (2025)

HEAL: Learning-Free Source Free Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation
by: Shi, Yulong, et al.
Published: (2025)

Asymmetric Co-Training for Source-Free Few-Shot Domain Adaptation
by: Li, Gengxu, 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)

Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free Unsupervised Domain Adaptation
by: Li, Yongguang, et al.
Published: (2024)

FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation
by: Yashwanth, M, et al.
Published: (2025)

Unified Source-Free Domain Adaptation
by: Tang, Song, et al.
Published: (2024)

ElimPCL: Eliminating Noise Accumulation with Progressive Curriculum Labeling for Source-Free Domain Adaptation
by: Cheng, Jie, et al.
Published: (2025)

Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
by: Chen, Haoran, et al.
Published: (2022)

Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2026)

Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
by: Deng, Peihua, et al.
Published: (2024)

Align, Minimize and Diversify: A Source-Free Unsupervised Domain Adaptation Method for Handwritten Text Recognition
by: Alfaro-Contreras, María, et al.
Published: (2024)

Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation
by: Yoon, Ilhoon, et al.
Published: (2024)

Proxy Denoising for Source-Free Domain Adaptation
by: Tang, Song, et al.
Published: (2024)

Agile Multi-Source-Free Domain Adaptation
by: Li, Xinyao, et al.
Published: (2024)

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

Multi-Prompt Progressive Alignment for Multi-Source Unsupervised Domain Adaptation
by: Chen, Haoran, et al.
Published: (2025)

Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation
by: Zeng, Hongye, et al.
Published: (2024)

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation
by: Wang, Fan, et al.
Published: (2024)

SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image Segmentation
by: Liu, Xinya, et al.
Published: (2025)