ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.05718
  4. Cited By
Parameter-free Online Test-time Adaptation

Parameter-free Online Test-time Adaptation

15 January 2022
Malik Boudiaf
Romain Mueller
Ismail Ben Ayed
Luca Bertinetto
    TTA
ArXivPDFHTML

Papers citing "Parameter-free Online Test-time Adaptation"

17 / 17 papers shown
Title
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Kejie Zhao
Wenjia Hua
Aiersi Tuerhong
Luziwei Leng
Yuxin Ma
Qinghua Guo
51
0
0
08 May 2025
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
M-U Jang
Hye Won Chung
TTA
92
0
0
20 Nov 2024
UL-VIO: Ultra-lightweight Visual-Inertial Odometry with Noise Robust
  Test-time Adaptation
UL-VIO: Ultra-lightweight Visual-Inertial Odometry with Noise Robust Test-time Adaptation
Jinho Park
Se Young Chun
Mingoo Seok
TTA
24
0
0
19 Sep 2024
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
Yu Liang
Shilei Cao
Juepeng Zheng
Jianxi Huang
H. Fu
Haohuan Fu
TTA
35
0
0
29 Aug 2024
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic
  Test-Time Adaptation
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation
Chaoqun Du
Yulin Wang
Jiayi Guo
Yizeng Han
Jie Zhou
Gao Huang
TTA
25
0
0
29 Jul 2024
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning
  for Video Data Drift
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift
Peng Zhao
Runchu Dong
Guiqin Wang
Cong Zhao
24
1
0
05 Jun 2024
Resilient Practical Test-Time Adaptation: Soft Batch Normalization
  Alignment and Entropy-driven Memory Bank
Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank
Xingzhi Zhou
Zhiliang Tian
Ka Chun Cheung
Simon See
Nevin L. Zhang
24
1
0
26 Jan 2024
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images
Gauransh Sawhney
Daksh Dave
Adeel Ahmed
Jiechao Gao
Khalid Saleem
21
0
0
21 Nov 2023
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Yongyi Su
Xun Xu
K. Jia
TTA
58
22
0
26 Sep 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved
  Single-Sample Test-Time Adaptation
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation
Skyler Seto
B. Theobald
Federico Danieli
Navdeep Jaitly
Dan Busbridge
TTA
OOD
22
6
0
07 Sep 2023
SATA: Source Anchoring and Target Alignment Network for Continual Test
  Time Adaptation
SATA: Source Anchoring and Target Alignment Network for Continual Test Time Adaptation
Goirik Chakrabarty
Manogna Sreenivas
Soma Biswas
TTA
16
5
0
20 Apr 2023
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Motasem Alfarra
Hani Itani
Alejandro Pardo
Shyma Alhuwaider
Merey Ramazanova
Juan C. Pérez
Zhipeng Cai
Matthias Müller
Bernard Ghanem
TTA
19
2
0
10 Apr 2023
Robust Test-Time Adaptation in Dynamic Scenarios
Robust Test-Time Adaptation in Dynamic Scenarios
Longhui Yuan
Binhui Xie
Shuangliang Li
TTA
17
108
0
24 Mar 2023
ActMAD: Activation Matching to Align Distributions for
  Test-Time-Training
ActMAD: Activation Matching to Align Distributions for Test-Time-Training
M. Jehanzeb Mirza
Pol Jané Soneira
W. Lin
Mateusz Koziñski
Horst Possegger
Horst Bischof
VLM
TTA
21
24
0
23 Nov 2022
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
154
676
0
22 Apr 2021
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
239
626
0
21 Apr 2021
Deep Domain-Adversarial Image Generation for Domain Generalisation
Deep Domain-Adversarial Image Generation for Domain Generalisation
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
201
402
0
12 Mar 2020
1