Papers
31 papers found
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
Alexander Bartler, Andre Bühler, Felix Wiewel et al.
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation
Hengguan Huang, Xiangming Gu, Hao Wang et al.
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation
Cem Anil, Ashwini Pokle, Kaiqu Liang et al.
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
Manli Shu, Weili Nie, De-An Huang et al.
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
Yongyi Su, Xun Xu, Kui Jia
OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training
Liang Chen, Yong Zhang, Yibing Song et al.
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
Taesik Gong, Jongheon Jeong, Taewon Kim et al.
Test-Time Training with Masked Autoencoders
Yossi Gandelsman, Yu Sun, Xinlei Chen et al.
Generalizable Person Re-identification via Self-Supervised Batch Norm Test-Time Adaption
Ke Han, Chenyang Si, Yan Huang et al.
Deep Translation Prior: Test-Time Training for Photorealistic Style Transfer
Sunwoo Kim, Soohyun Kim, Seungryong Kim
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary
Quande Liu, Cheng Chen, Qi Dou et al.
Domain Alignment Meets Fully Test-Time Adaptation
Kowshik Thopalli, Pavan Turaga, Jayaraman J Thiagarajan
Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition
Junho Kim, Inwoo Hwang, Young Min Kim
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang et al.
Continual Test-Time Domain Adaptation
Qin Wang, Olga Fink, Luc Van Gool et al.
Towards Multi-Domain Single Image Dehazing via Test-Time Training
Huan Liu, Zijun Wu, Liangyan Li et al.
Contrastive Test-Time Adaptation
Dian Chen, Dequan Wang, Trevor Darrell et al.
Sketch3T: Test-Time Training for Zero-Shot SBIR
Aneeshan Sain, Ayan Kumar Bhunia, Vaishnav Potlapalli et al.
Parameter-Free Online Test-Time Adaptation
Malik Boudiaf, Romain Mueller, Ismail Ben Ayed et al.
Improving Test-Time Adaptation via Shift-Agnostic Weight Regularization and Nearest Source Prototypes
Sungha Choi, Seunghan Yang, Seokeon Choi et al.
Robust Question Answering against Distribution Shifts with Test-Time Adaption: An Empirical Study
Hai Ye, Yuyang Ding, Juntao Li et al.
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce, Sven Gowal, Thomas Brunner et al.
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing
Mohammad Zalbagi Darestani, Jiayu Liu, Reinhard Heckel
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang et al.
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa