Cover Image

Test-Time Discovery via Hashing Memory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lyu, Fan, Liu, Tianle, Zhang, Zhang, Hu, Fuyuan, Wang, Liang
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Annotation-Efficient Active Test-Time Adaptation with Conformal Prediction
by: Shi, Tingyu, et al.
Published: (2025)

Scaling Image and Video Generation via Test-Time Evolutionary Search
by: He, Haoran, et al.
Published: (2025)

Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World
by: Jiang, Qinting, et al.
Published: (2025)

Hashing for Structure-based Anomaly Detection
by: Leveni, Filippo, et al.
Published: (2025)

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition
by: Wang, Shuoyuan, et al.
Published: (2023)

ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training
by: Jin, Haian, et al.
Published: (2026)

HGTS-Former: Hierarchical HyperGraph Transformer for Multivariate Time Series Analysis
by: Si, Hao, et al.
Published: (2025)

Test-Time Defense Against Adversarial Attacks via Stochastic Resonance of Latent Ensembles
by: Lao, Dong, et al.
Published: (2025)

Temporal Test-Time Adaptation with State-Space Models
by: Schirmer, Mona, et al.
Published: (2024)

MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm
by: Fan, Xiao, et al.
Published: (2025)

Enhancing Temporal Modeling of Video LLMs via Time Gating
by: Hu, Zi-Yuan, et al.
Published: (2024)

EEO-TFV: Escape-Explore Optimizer for Web-Scale Time-Series Forecasting and Vision Analysis
by: Wang, Hua, et al.
Published: (2026)

A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
by: Liang, Jian, et al.
Published: (2023)

DRUPI: Dataset Reduction Using Privileged Information
by: Wang, Shaobo, et al.
Published: (2024)

Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
by: Ma, Huan, et al.
Published: (2024)

EITNet: An IoT-Enhanced Framework for Real-Time Basketball Action Recognition
by: Liu, Jingyu, et al.
Published: (2024)

MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering
by: Li, Xu, et al.
Published: (2025)

ViTime: Foundation Model for Time Series Forecasting Powered by Vision Intelligence
by: Yang, Luoxiao, et al.
Published: (2024)

Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimation
by: Wang, Ti, et al.
Published: (2024)

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models
by: Wang, Hongjun, et al.
Published: (2026)

Effortless Active Labeling for Long-Term Test-Time Adaptation
by: Wang, Guowei, et al.
Published: (2025)

VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models
by: Yu, Xinlei, et al.
Published: (2025)

AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models
by: Li, Xingjian, et al.
Published: (2025)

Test-Time Training with KV Binding Is Secretly Linear Attention
by: Liu, Junchen, et al.
Published: (2026)

FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
by: Bai, Yunwei, et al.
Published: (2024)

Learning to Stop Overthinking at Test Time
by: Bao, Hieu Tran, et al.
Published: (2025)

Evaluation of Test-Time Adaptation Under Computational Time Constraints
by: Alfarra, Motasem, et al.
Published: (2023)

ReDepth Anything: Test-Time Depth Refinement via Self-Supervised Re-lighting
by: Bhattarai, Ananta R., et al.
Published: (2025)

Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation
by: Kim, Taehoon, et al.
Published: (2025)

Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning
by: Liu, Geng, et al.
Published: (2025)

Accelerating Diffusion Sampling with Optimized Time Steps
by: Xue, Shuchen, et al.
Published: (2024)

Test-Time Matching: Unlocking Compositional Reasoning in Multimodal Models
by: Zhu, Yinglun, et al.
Published: (2025)

VRScout: Towards Real-Time, Autonomous Testing of Virtual Reality Games
by: Wu, Yurun, et al.
Published: (2025)

Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models
by: Song, Fei, et al.
Published: (2025)

STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios
by: Xu, Dongyang, et al.
Published: (2024)

Automatically Generating Visual Hallucination Test Cases for Multimodal Large Language Models
by: Liu, Zhongye, et al.
Published: (2024)

Steering the LoCoMotif: Using Domain Knowledge in Time Series Motif Discovery
by: Yurtman, Aras, et al.
Published: (2025)

Meta Pruning via Graph Metanetworks : A Universal Meta Learning Framework for Network Pruning
by: Liu, Yewei, et al.
Published: (2025)

A Layer Selection Approach to Test Time Adaptation
by: Sahoo, Sabyasachi, et al.
Published: (2024)

Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
by: Sui, Elaine, et al.
Published: (2024)