Cover Image

TestDG: Test-time Domain Generalization for Continual Test-time Adaptation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Sohyun, Kim, Nayeong, Kang, Juwon, Oh, Seong Joon, Kwak, Suha
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GroupCoOp: Group-robust Fine-tuning via Group Prompt Learning
by: Kim, Nayeong, et al.
Published: (2025)

Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
by: Kim, Nayeong, et al.
Published: (2024)

Stabilizing Open-Set Test-Time Adaptation via Primary-Auxiliary Filtering and Knowledge-Integrated Prediction
by: Lee, Byung-Joon, et al.
Published: (2025)

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation
by: Lee, Sohyun, et al.
Published: (2025)

Subspace Alignment for Vision-Language Model Test-time Adaptation
by: Zeng, Zhichen, et al.
Published: (2026)

FunOTTA: On-the-Fly Adaptation on Cross-Domain Fundus Image via Stable Test-time Training
by: Zeng, Qian, et al.
Published: (2024)

FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions
by: Lee, Sohyun, et al.
Published: (2024)

Multi-modal Test-time Adaptation via Adaptive Probabilistic Gaussian Calibration
by: Xu, Jinglin, et al.
Published: (2026)

Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation
by: Ni, Jiayi, et al.
Published: (2023)

DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection
by: Chen, Zhuoxiao, et al.
Published: (2024)

Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning
by: Kim, Sungyeon, et al.
Published: (2023)

ETA: Energy-based Test-time Adaptation for Depth Completion
by: Chung, Younjoon, et al.
Published: (2025)

FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation
by: Honarmand, Mohammadmahdi, et al.
Published: (2025)

MatRes: Zero-Shot Test-Time Model Adaptation for Simultaneous Matching and Restoration
by: Lee, Kanggeon, et al.
Published: (2026)

No Pose Estimation? No Problem: Pose-Agnostic and Instance-Aware Test-Time Adaptation for Monocular Depth Estimation
by: Sung, Mingyu, et al.
Published: (2025)

IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation
by: Baek, Sunghyun, et al.
Published: (2026)

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
by: Zhang, Rongyu, et al.
Published: (2024)

Pyramid Self-contrastive Learning Framework for Test-time Ultrasound Image Denoising
by: Zhang, Jiajing, et al.
Published: (2026)

Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model
by: Kim, Dongwon, et al.
Published: (2026)

Visual Test-time Scaling for GUI Agent Grounding
by: Luo, Tiange, et al.
Published: (2025)

MINT: Memory-Infused Prompt Tuning at Test-time for CLIP
by: Yi, Jiaming, et al.
Published: (2025)

TTA-DAME: Test-Time Adaptation with Domain Augmentation and Model Ensemble for Dynamic Driving Conditions
by: Jeon, Dongjae, et al.
Published: (2025)

AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
by: Lee, Taeckyung, et al.
Published: (2024)

VIRO: Robust and Efficient Neuro-Symbolic Reasoning with Verification for Referring Expression Comprehension
by: Park, Hyejin, et al.
Published: (2026)

Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
by: Wang, Zixin, et al.
Published: (2024)

Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
by: Lee, Dongkwan, et al.
Published: (2025)

From Question to Exploration: Test-Time Adaptation in Semantic Segmentation?
by: Yi, Chang'an, et al.
Published: (2023)

Frustratingly Easy Test-Time Adaptation of Vision-Language Models
by: Farina, Matteo, et al.
Published: (2024)

Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation
by: He, Yongbo, et al.
Published: (2026)

SPEGC: Continual Test-Time Adaptation via Semantic-Prompt-Enhanced Graph Clustering for Medical Image Segmentation
by: Du, Xiaogang, et al.
Published: (2026)

Progress by Pieces: Test-Time Scaling for Autoregressive Image Generation
by: Park, Joonhyung, et al.
Published: (2025)

Probing the effectiveness of World Models for Spatial Reasoning through Test-time Scaling
by: Jha, Saurav, et al.
Published: (2025)

FIQ: Fundamental Question Generation with the Integration of Question Embeddings for Video Question Answering
by: Oh, Ju-Young, et al.
Published: (2025)

When Do Diffusion Models learn to Generate Multiple Objects?
by: Jeong, Yujin, et al.
Published: (2026)

Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation
by: Iele, Irene, et al.
Published: (2025)

Historical Test-time Prompt Tuning for Vision Foundation Models
by: Zhang, Jingyi, et al.
Published: (2024)

Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization
by: Dong, Hao, et al.
Published: (2025)

Domain-Conditioned Transformer for Fully Test-time Adaptation
by: Tang, Yushun, et al.
Published: (2024)

When and Where to Reset Matters for Long-Term Test-Time Adaptation
by: Lim, Taejun, et al.
Published: (2026)

TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision
by: Pokhrel, Sandesh, et al.
Published: (2024)