Single Image Test-Time Adaptation for Segmentation

25 September 2023

Papers citing "Single Image Test-Time Adaptation for Segmentation"

37 / 37 papers shown

Title
Bag of Tricks for Fully Test-Time Adaptation Saypraseuth Mounsaveng Florent Chiaroni Malik Boudiaf M. Pedersoli Ismail Ben Ayed TTA 56 7 0 03 Oct 2023
Test-Time Training on Video Streams Renhao Wang Yu Sun Yossi Gandelsman Xinlei Chen Alexei A. Efros Alexei A. Efros Xiaolong Wang TTA ViT 3DGS 107 19 0 11 Jul 2023
Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification Yongcan Yu Lijun Sheng Ran He Jian Liang OOD VLM TTA 45 15 0 06 Jul 2023
Towards Stable Test-Time Adaptation in Dynamic Wild World Shuaicheng Niu Jiaxiang Wu Yifan Zhang Z. Wen Yaofo Chen P. Zhao Mingkui Tan TTA 85 272 0 24 Feb 2023
Test-Time Training with Masked Autoencoders Yossi Gandelsman Yu Sun Xinlei Chen Alexei A. Efros OOD 96 172 0 15 Sep 2022
Back to the Source: Diffusion-Driven Test-Time Adaptation Jin Gao Jialing Zhang Xihui Liu Trevor Darrell Evan Shelhamer Dequan Wang TTA 84 55 0 07 Jul 2022
Contrastive Test-Time Adaptation Dian Chen Dequan Wang Trevor Darrell Sayna Ebrahimi TTA 53 267 0 21 Apr 2022
On the Road to Online Adaptation for Semantic Image Segmentation Riccardo Volpi Pau de Jorge Diane Larlus G. Csurka OffRL 85 26 0 30 Mar 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 106 424 0 25 Mar 2022
SITA: Single Image Test-time Adaptation Ansh Khurana S. Paul Piyush Rai Soma Biswas Gaurav Aggarwal 113 52 0 04 Dec 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation Korawat Tanwisuth Xinjie Fan Huangjie Zheng Shujian Zhang A. Leon-Garcia Bo Chen Mingyuan Zhou 98 103 0 22 Oct 2021
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 51 6 0 26 Aug 2021
AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation Viraj Prabhu Shivam Khare Deeksha Kartik Judy Hoffman TTA 55 21 0 21 Jul 2021
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers Andreas Steiner Alexander Kolesnikov Xiaohua Zhai Ross Wightman Jakob Uszkoreit Lucas Beyer ViT 107 633 0 18 Jun 2021
Source-Free Domain Adaptation for Semantic Segmentation Yuang Liu Wei Zhang Jun Wang 51 253 0 30 Mar 2021
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption Alexander Bartler Andreas Bühler Felix Wiewel Mario Döbler Binh Yang TTA OOD 70 82 0 30 Mar 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 320 702 0 19 Oct 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 95 481 0 30 Jun 2020
Rethinking Distributional Matching Based Domain Adaptation Yue Liu Yezhen Wang Tong Che Shanghang Zhang Sicheng Zhao Pengfei Xu Wei Zhou Yoshua Bengio Kurt Keutzer OOD 53 60 0 23 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift Zachary Nado Shreyas Padhy D. Sculley Alexander DÁmour Balaji Lakshminarayanan Jasper Snoek OOD AI4TS 89 247 0 19 Jun 2020
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation Neerav Karani Ertunc Erdil K. Chaitanya E. Konukoglu OOD 51 171 0 09 Apr 2020
Domain Adaptation for Object Detection via Style Consistency A. L. Rodríguez K. Mikolajczyk ObjD TTA 37 94 0 22 Nov 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 139 18,134 0 28 May 2019
Semi-supervised Domain Adaptation via Minimax Entropy Kuniaki Saito Donghyun Kim Stan Sclaroff Trevor Darrell Kate Saenko 72 622 0 13 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 172 3,435 0 28 Mar 2019
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation Yue Zhang S. Miao Tommaso Mansi Rui Liao MedIm 53 206 0 11 Jun 2018
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 304 12,069 0 19 Jun 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 262 4,659 0 17 Feb 2017
Playing for Data: Ground Truth from Computer Games Stephan R. Richter Vibhav Vineet Stefan Roth V. Koltun VLM 122 2,009 0 07 Aug 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 410 10,482 0 21 Jul 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 540 5,897 0 08 Jul 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 221 8,688 0 15 Jun 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,609 0 06 Apr 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,196 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,667 0 01 May 2014