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Test-time Adaptation

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Showing 176–200 of 484 papers

TitleStatusHype
DART^3: Leveraging Distance for Test Time Adaptation in Person Re-Identification—0
Higher-Order Asymptotics of Test-Time Adaptation for Batch Normalization Statistics—0
TRAIL: Transferable Robust Adversarial Images via Latent diffusion—0
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving—0
AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation—0
ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains—0
Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image CorruptionCode0
FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning—0
MINGLE: Mixtures of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging—0
UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models—0
APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point CloudsCode0
FRET: Feature Redundancy Elimination for Test Time Adaptation—0
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural NetworksCode0
SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation—0
Mitigating Image Captioning Hallucinations in Vision-Language Models—0
TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution AlignmentCode0
On-demand Test-time Adaptation for Edge Devices—0
BoTTA: Benchmarking on-device Test Time Adaptation—0
Geometric Consistency Refinement for Single Image Novel View Synthesis via Test-Time Adaptation of Diffusion Models—0
Self-Bootstrapping for Versatile Test-Time Adaptation—0
SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks—0
Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates—0
FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation—0
D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction—0
Mitigating Cache Noise in Test-Time Adaptation for Large Vision-Language Models—0
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