Recent Advances of Continual Learning in Computer Vision: An Overview

23 September 2021

Jun Liu

Papers citing "Recent Advances of Continual Learning in Computer Vision: An Overview"

50 / 250 papers shown

Title
Learning without Memorizing Prithviraj Dhar Rajat Vikram Singh Kuan-Chuan Peng Ziyan Wu Rama Chellappa CLL 85 483 0 20 Nov 2018
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data O. Tasar Y. Tarabalka Pierre Alliez CLL 97 127 0 29 Oct 2018
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference Matthew D Riemer Ignacio Cases R. Ajemian Miao Liu Irina Rish Y. Tu Gerald Tesauro CLL 80 787 0 29 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 92 181 0 16 Oct 2018
Continual Learning of Context-dependent Processing in Neural Networks Guanxiong Zeng Yang Chen Bo Cui Shan Yu CLL 79 308 0 29 Sep 2018
Generative replay with feedback connections as a general strategy for continual learning Gido M. van de Ven A. Tolias CLL KELM 72 226 0 27 Sep 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 51 195 0 06 Sep 2018
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 87 1,158 0 25 Jul 2018
Reinforced Continual Learning Ju Xu Zhanxing Zhu CLL 97 377 0 31 May 2018
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting H. Ritter Aleksandar Botev David Barber BDL CLL 83 331 0 20 May 2018
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 122 889 0 16 May 2018
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 320 408 0 09 Apr 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 233 3,473 0 09 Mar 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 187 2,888 0 21 Feb 2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting Xialei Liu Marc Masana Luis Herranz Joost van de Weijer Antonio M. López Andrew D. Bagdanov CLL 85 275 0 08 Feb 2018
Incremental Classifier Learning with Generative Adversarial Networks Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Zhengyou Zhang Y. Fu GAN 117 109 0 02 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 102 1,141 0 30 Jan 2018
Overcoming catastrophic forgetting with hard attention to the task Joan Serrà Dídac Surís M. Miron Alexandros Karatzoglou CLL 106 1,079 0 04 Jan 2018
FearNet: Brain-Inspired Model for Incremental Learning Ronald Kemker Christopher Kanan CLL 115 479 0 28 Nov 2017
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 85 1,636 0 27 Nov 2017
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification Longhui Wei Shiliang Zhang Wen Gao Q. Tian GAN 95 1,669 0 23 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning Arun Mallya Svetlana Lazebnik CLL 105 1,301 0 15 Nov 2017
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering Elliot Meyerson Risto Miikkulainen MoE 72 93 0 31 Oct 2017
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 86 733 0 29 Oct 2017
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 194 1,276 0 05 Oct 2017
FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez Florian Strub H. D. Vries Vincent Dumoulin Aaron Courville FAtt AIMat OffRL AI4CE 352 2,212 0 22 Sep 2017
Incremental Learning of Object Detectors without Catastrophic Forgetting K. Shmelkov Cordelia Schmid Alahari Karteek ObjD 73 520 0 23 Aug 2017
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 121 1,224 0 04 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 127 2,714 0 26 Jun 2017
Lifelong Generative Modeling Jason Ramapuram Magda Gregorova Alexandros Kalousis BDL CLL 68 119 0 27 May 2017
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 80 2,077 0 24 May 2017
Continual Learning in Generative Adversarial Nets Ari Seff Alex Beatson Daniel Suo Han Liu GAN 49 133 0 23 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,858 0 17 Apr 2017
Encoder Based Lifelong Learning Amal Rannen Triki Rahaf Aljundi Mathew B. Blaschko Tinne Tuytelaars CLL 100 321 0 06 Apr 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching Sang-Woo Lee Jin-Hwa Kim Jaehyun Jun Jung-Woo Ha Byoung-Tak Zhang CLL 70 677 0 24 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 300 8,134 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,909 0 09 Mar 2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks Chrisantha Fernando Dylan Banarse Charles Blundell Yori Zwols David R Ha Andrei A. Rusu Alexander Pritzel Daan Wierstra 72 880 0 30 Jan 2017
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro Zhedong Zheng Liang Zheng Yi Yang GAN 72 1,887 0 26 Jan 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 365 7,518 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 148 3,761 0 23 Nov 2016
Expert Gate: Lifelong Learning with a Network of Experts Rahaf Aljundi Punarjay Chakravarty Tinne Tuytelaars CLL 77 661 0 18 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 424 3,213 0 30 Oct 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 137 1,630 0 27 Sep 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 296 4,408 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 2,452 0 15 Jun 2016
Net2Net: Accelerating Learning via Knowledge Transfer Tianqi Chen Ian Goodfellow Jonathon Shlens 159 669 0 18 Nov 2015
Optimizing Neural Networks with Kronecker-factored Approximate Curvature James Martens Roger C. Grosse ODL 104 1,014 0 19 Mar 2015
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 123 2,261 0 30 Oct 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