Multi-Domain Incremental Learning for Semantic Segmentation

23 October 2021

Papers citing "Multi-Domain Incremental Learning for Semantic Segmentation"

47 / 47 papers shown

Title
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions Shishir Muralidhara René Schuster Didier Stricker CLL 463 0 0 10 Jan 2025
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving Li Wang D. Li Han Liu Jinzhan Peng Lu Tian Yi Shan 48 36 0 21 Mar 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations Umberto Michieli Pietro Zanuttigh CLL 64 138 0 10 Mar 2021
PLOP: Learning without Forgetting for Continual Semantic Segmentation Arthur Douillard Yifu Chen Arnaud Dapogny Matthieu Cord CLL 44 239 0 23 Nov 2020
Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation D. Kothandaraman Athira M. Nambiar Anurag Mittal CLL 27 26 0 03 Nov 2020
Instance Adaptive Self-Training for Unsupervised Domain Adaptation Ke Mei Chuang Zhu Jiaqi Zou Shanghang Zhang 71 307 0 27 Aug 2020
Class-Incremental Domain Adaptation Jogendra Nath Kundu R. Venkatesh Naveen Venkat Ambareesh Revanur R. Venkatesh Babu CLL 38 51 0 04 Aug 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference Menelaos Kanakis David Brüggemann Suman Saha Stamatios Georgoulis Anton Obukhov Luc Van Gool CLL 46 72 0 24 Jul 2020
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation Haoran Wang T. Shen Wei Zhang Lingyu Duan Tao Mei 62 289 0 17 Jul 2020
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels Marvin Klingner Andreas Bär Philipp Donn Tim Fingscheidt CLL 109 45 0 12 May 2020
FDA: Fourier Domain Adaptation for Semantic Segmentation Yanchao Yang Stefano Soatto OOD 81 895 0 11 Apr 2020
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 195 200 0 21 Mar 2020
Modeling the Background for Incremental Learning in Semantic Segmentation Fabio Cermelli Massimiliano Mancini Samuel Rota Buló Elisa Ricci Barbara Caputo CLL VLM 43 280 0 03 Feb 2020
Multi-source Domain Adaptation for Semantic Segmentation Sicheng Zhao Yue Liu Xiangyu Yue Yang Gu Pengfei Xu Runbo Hu Hua Chai Kurt Keutzer 56 159 0 27 Oct 2019
A continual learning survey: Defying forgetting in classification tasks Matthias De Lange Rahaf Aljundi Marc Masana Sarah Parisot Xu Jia A. Leonardis Greg Slabaugh Tinne Tuytelaars CLL KELM 57 246 0 18 Sep 2019
Incremental Learning Techniques for Semantic Segmentation Umberto Michieli Pietro Zanuttigh SSeg CLL VLM 89 234 0 31 Jul 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 89 1,249 0 30 May 2019
Incremental multi-domain learning with network latent tensor factorization Adrian Bulat Jean Kossaifi Georgios Tzimiropoulos Maja Pantic CLL 36 34 0 12 Apr 2019
ACE: Adapting to Changing Environments for Semantic Segmentation Zuxuan Wu Xin Wang Joseph E. Gonzalez Tom Goldstein L. Davis OOD 53 101 0 12 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning O. Ostapenko M. Puscas T. Klein P. Jähnichen Moin Nabi CLL 146 301 0 05 Apr 2019
Depthwise Convolution is All You Need for Learning Multiple Visual Domains Yunhui Guo Yandong Li Rogerio Feris Liqiang Wang Tajana Simunic OOD 65 149 0 03 Feb 2019
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation Tuan-Hung Vu Himalaya Jain Max Bucher Matthieu Cord P. Pérez 123 1,291 0 30 Nov 2018
Universal Semi-Supervised Semantic Segmentation Tarun Kalluri G. Varma Manmohan Chandraker C. V. Jawahar 53 96 0 26 Nov 2018
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments G. Varma A. Subramanian A. Namboodiri Manmohan Chandraker C. V. Jawahar 88 324 0 26 Nov 2018
Learning without Memorizing Prithviraj Dhar Rajat Vikram Singh Kuan-Chuan Peng Ziyan Wu Rama Chellappa CLL 79 479 0 20 Nov 2018
Memory Replay GANs: learning to generate images from new categories without forgetting Chenshen Wu Luis Herranz Xialei Liu Yaxing Wang Joost van de Weijer Bogdan Raducanu CLL VLM GAN 49 194 0 06 Sep 2018
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 85 1,153 0 25 Jul 2018
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks Massimiliano Mancini Elisa Ricci Barbara Caputo Samuel Rota Buló 44 51 0 28 May 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning Feng Yu Haofeng Chen Xin Wang Wenqi Xian Yingying Chen Fangchen Liu Vashisht Madhavan Trevor Darrell VLM 260 2,129 0 12 May 2018
Efficient parametrization of multi-domain deep neural networks Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 76 364 0 27 Mar 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 152 2,879 0 21 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 89 1,137 0 30 Jan 2018
Incremental Adversarial Domain Adaptation for Continually Changing Environments Markus Wulfmeier Alex Bewley Ingmar Posner CLL 50 129 0 20 Dec 2017
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 83 1,628 0 27 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning Arun Mallya Svetlana Lazebnik CLL 105 1,296 0 15 Nov 2017
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 99 1,220 0 04 Aug 2017
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 76 2,062 0 24 May 2017
Learning multiple visual domains with residual adapters Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 142 931 0 22 May 2017
Incremental Learning Through Deep Adaptation Amir Rosenfeld John K. Tsotsos CLL 51 277 0 11 May 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 317 7,478 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 129 3,741 0 23 Nov 2016
Expert Gate: Lifelong Learning with a Network of Experts Rahaf Aljundi Punarjay Chakravarty Tinne Tuytelaars CLL 75 658 0 18 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 282 4,391 0 29 Jun 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 77 2,442 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 938 11,587 0 06 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 310 19,609 0 09 Mar 2015