Tent: Fully Test-time Adaptation by Entropy Minimization
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Abstract (arXiv)
A model must adapt itself to generalize to new and different data during testing. In this setting of fully test-time adaptation the model has only the test data and its own parameters. We propose to adapt by test entropy minimization (tent): we optimize the model for confidence as measured by the entropy of its predictions. Our method estimates normalization statistics and optimizes channel-wise affine transformations to update online on each batch. Tent reduces generalization error for image classification on corrupted ImageNet and CIFAR-10/100 and reaches a new state-of-the-art error on ImageNet-C. Tent handles source-free domain adaptation on digit recognition from SVHN to MNIST/MNIST-M/USPS, on semantic segmentation from GTA to Cityscapes, and on the VisDA-C benchmark. These results are achieved in one epoch of test-time optimization without altering training.
Key facts. Cited by 59 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Jun 2020.
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Citing papers per year: 2021: 13; 2022: 5; 2023: 11; 2024: 12; 2025: 7; 2026: 11.
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- 2021Predicting with Confidence on Unseen Distributionscited by 116
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- 2025Dream to Recall: Imagination-Guided Experience Retrieval for Memory-Persistent Vision-and-Language Navigation9 Oct 2025
- 2025Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models2 Aug 2025
- 2025UKBOB: One Billion MRI Labeled Masks for Generalizable 3D Medical Image Segmentation9 Apr 2025
- 2025Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning21 Jan 2025
- 2024CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training20 Dec 2024
- 2024TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptation13 Dec 2024
- 2024New Test-Time Scenario for Biosignal: Concept and Its Approach26 Nov 2024
- 2024Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss15 Oct 2024
- 2024Adaptify: A Refined Adaptation Scheme for Frame Classification in Atrophic Gastritis Videos17 Aug 2024
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- 2024Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation3 Jun 2024
- 2024CLIPArTT: Adaptation of CLIP to New Domains at Test Time1 May 2024
- 2024Adversarial Reweighting with α-Power Maximization for Domain Adaptation26 Apr 2024
- 2024A Bayesian Approach to OOD Robustness in Image Classification12 Mar 2024
- 2024SMORE: Similarity-based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification20 Feb 2024
- 2024Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank26 Jan 2024
- 2023Cloud-Device Collaborative Learning for Multimodal Large Language Models26 Dec 2023
- 2023Robust Source-Free Domain Adaptation for Fundus Image Segmentation25 Oct 2023
- 2023Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID24 Oct 2023
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- 2023Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience6 Aug 2023
- 2023Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation2 Jul 2023
- 2023SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency1 Jul 2023
- 2023RDumb: A simple approach that questions our progress in continual test-time adaptation8 Jun 2023
- 2023Monitoring and Adapting ML Models on Mobile Devices12 May 2023
- 2023Earning Extra Performance from Restrictive Feedbacks28 Apr 2023
- 2023FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation30 Mar 2023
- 2022Unsupervised Domain Adaptation for Segmentation with Black-box Source Model16 Aug 2022
- 2022Generative Domain Adaptation for Face Anti-Spoofing20 Jul 2022
- 2022Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary29 Jun 2022
- 2022Evaluating the Adversarial Robustness of Adaptive Test-time Defenses28 Feb 2022
- 2022Self-semantic contour adaptation for cross modality brain tumor segmentation13 Jan 2022
- 2021Noether Networks: Meta-Learning Useful Conserved Quantities6 Dec 2021
- 2021AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation24 Oct 2021
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- 2021Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction23 Aug 2021
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- 2025Adapting Like Humans: A Metacognitive Agent with Test-time Reasoningcited by 4
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- 2026Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendationcited by 0
- 2026Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation4 Sep 2026
- 2026Beyond LLM-Based Reasoning: Lightweight GNNs for Agent Failure Attribution19 Aug 2026
- 2025Adapting Like Humans: A Metacognitive Agent with Test-time Reasoning28 Nov 2025
- 2023Cloud-Device Collaborative Learning for Multimodal Large Language Models26 Dec 2023
- 2024CLIPArTT: Adaptation of CLIP to New Domains at Test Timecited by 14
- 2025RoboDriveVLM: A Novel Benchmark and Baseline towards Robust Vision-Language Models for Autonomous Drivingcited by 8
- 2025Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Modelscited by 6
- 2026Subspace Alignment for Vision-Language Model Test-time Adaptationcited by 5
- 2026Subspace Alignment for Vision-Language Model Test-time Adaptation13 Jan 2026
- 2025RoboDriveVLM: A Novel Benchmark and Baseline towards Robust Vision-Language Models for Autonomous Driving1 Dec 2025
- 2025Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models2 Aug 2025
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- 2023RDumb: A simple approach that questions our progress in continual test-time adaptationcited by 50
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- 2022Generative Domain Adaptation for Face Anti-Spoofingcited by 33
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- 2021Noether Networks: Meta-Learning Useful Conserved Quantitiescited by 26
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- 2026Discriminator-Guided Adaptive Diffusion for Source-Free Test-Time Adaptation under Image Corruptions26 Apr 2026
- 2026Nested Radially Monotone Polar Occupancy Estimation: Clinically-Grounded Optic Disc and Cup Segmentation for Glaucoma Screening10 Apr 2026
- 2026Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training12 Mar 2026
- 2025Boundary-Aware Test-Time Adaptation for Zero-Shot Medical Image Segmentation4 Dec 2025
- 2025UKBOB: One Billion MRI Labeled Masks for Generalizable 3D Medical Image Segmentation9 Apr 2025
- 2025Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning21 Jan 2025
- 2024TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptation13 Dec 2024
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- 2024Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss15 Oct 2024
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