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Recent Advances of Continual Learning in Computer Vision: An Overview

Recent Advances of Continual Learning in Computer Vision: An Overview

23 September 2021
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
    VLM
    CLL
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Papers citing "Recent Advances of Continual Learning in Computer Vision: An Overview"

50 / 250 papers shown
Title
EEC: Learning to Encode and Regenerate Images for Continual Learning
EEC: Learning to Encode and Regenerate Images for Continual Learning
Ali Ayub
Alan R. Wagner
CLL
99
59
0
13 Jan 2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for
  Semi-supervised Continual Learning
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning
Liyuan Wang
Kuo Yang
Chongxuan Li
Lanqing Hong
Zhenguo Li
Jun Zhu
CLL
BDL
94
82
0
02 Jan 2021
SID: Incremental Learning for Anchor-Free Object Detection via Selective
  and Inter-Related Distillation
SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation
Can Peng
Kun-li Zhao
Sam Maksoud
Meng Li
Brian C. Lovell
CLL
ObjD
53
47
0
31 Dec 2020
Efficient Continual Learning with Modular Networks and Task-Driven
  Priors
Efficient Continual Learning with Modular Networks and Task-Driven Priors
Tom Véniat
Ludovic Denoyer
MarcÁurelio Ranzato
CLL
73
98
0
23 Dec 2020
IIRC: Incremental Implicitly-Refined Classification
IIRC: Incremental Implicitly-Refined Classification
Mohamed Abdelsalam
Mojtaba Faramarzi
Shagun Sodhani
A. Chandar
CLL
49
29
0
23 Dec 2020
Seeing past words: Testing the cross-modal capabilities of pretrained
  V&L models on counting tasks
Seeing past words: Testing the cross-modal capabilities of pretrained V&L models on counting tasks
Letitia Parcalabescu
Albert Gatt
Anette Frank
Iacer Calixto
LRM
47
49
0
22 Dec 2020
Continual Adaptation of Visual Representations via Domain Randomization
  and Meta-learning
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning
Riccardo Volpi
Diane Larlus
Grégory Rogez
VLM
OOD
CLL
63
74
0
08 Dec 2020
Self-Training for Class-Incremental Semantic Segmentation
Self-Training for Class-Incremental Semantic Segmentation
Lu Yu
Xialei Liu
Joost van de Weijer
CLL
SSL
59
57
0
06 Dec 2020
Incremental Learning via Rate Reduction
Incremental Learning via Rate Reduction
Ziyang Wu
Christina Baek
Chong You
Yi-An Ma
CLL
50
40
0
30 Nov 2020
Generalized Variational Continual Learning
Generalized Variational Continual Learning
Noel Loo
S. Swaroop
Richard Turner
BDL
CLL
74
60
0
24 Nov 2020
PLOP: Learning without Forgetting for Continual Semantic Segmentation
PLOP: Learning without Forgetting for Continual Semantic Segmentation
Arthur Douillard
Yifu Chen
Arnaud Dapogny
Matthieu Cord
CLL
46
241
0
23 Nov 2020
A Comprehensive Study of Class Incremental Learning Algorithms for
  Visual Tasks
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
Eden Belouadah
Adrian Daniel Popescu
Ioannis Kanellos
CLL
75
220
0
03 Nov 2020
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classification
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
79
688
0
28 Oct 2020
Deep Networks from the Principle of Rate Reduction
Deep Networks from the Principle of Rate Reduction
Kwan Ho Ryan Chan
Yaodong Yu
Chong You
Haozhi Qi
John N. Wright
Yi-An Ma
66
21
0
27 Oct 2020
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Simone Calderara
CLL
45
150
0
12 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning
Adaptive Aggregation Networks for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
99
219
0
10 Oct 2020
Linear Mode Connectivity in Multitask and Continual Learning
Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Dilan Görür
Razvan Pascanu
H. Ghasemzadeh
CLL
76
144
0
09 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic
  Forgetting
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
Sayna Ebrahimi
Suzanne Petryk
Akash Gokul
William Gan
Joseph E. Gonzalez
Marcus Rohrbach
Trevor Darrell
CLL
65
45
0
04 Oct 2020
Meta-Consolidation for Continual Learning
Meta-Consolidation for Continual Learning
K. J. Joseph
V. Balasubramanian
CLL
56
56
0
01 Oct 2020
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches,
  Results, Current Challenges and Future Directions
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions
Vincenzo Lomonaco
Lorenzo Pellegrini
Pau Rodríguez López
Massimo Caccia
Qi She
...
G. I. Parisi
Nikhil Churamani
Marc Pickett
I. Laradji
Davide Maltoni
CLL
69
44
0
14 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
74
103
0
08 Sep 2020
Lifelong Graph Learning
Lifelong Graph Learning
Chen Wang
Yuheng Qiu
Dasong Gao
Sebastian Scherer
CLL
GNN
AI4CE
73
51
0
01 Sep 2020
Initial Classifier Weights Replay for Memoryless Class Incremental
  Learning
Initial Classifier Weights Replay for Memoryless Class Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
Ioannis Kanellos
CLL
108
23
0
31 Aug 2020
Online Continual Learning under Extreme Memory Constraints
Online Continual Learning under Extreme Memory Constraints
Enrico Fini
Stéphane Lathuilière
E. Sangineto
Moin Nabi
Elisa Ricci
CLL
63
65
0
04 Aug 2020
Class-Incremental Domain Adaptation
Class-Incremental Domain Adaptation
Jogendra Nath Kundu
R. Venkatesh
Naveen Venkat
Ambareesh Revanur
R. Venkatesh Babu
CLL
48
51
0
04 Aug 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning
  without Task Interference
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
Menelaos Kanakis
David Brüggemann
Suman Saha
Stamatios Georgoulis
Anton Obukhov
Luc Van Gool
CLL
67
72
0
24 Jul 2020
Learning latent representations across multiple data domains using
  Lifelong VAEGAN
Learning latent representations across multiple data domains using Lifelong VAEGAN
Fei Ye
A. Bors
SyDa
CLL
55
66
0
20 Jul 2020
RATT: Recurrent Attention to Transient Tasks for Continual Image
  Captioning
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
Riccardo Del Chiaro
Bartlomiej Twardowski
Andrew D. Bagdanov
Joost van de Weijer
CLL
VLM
65
41
0
13 Jul 2020
Graph-Based Continual Learning
Graph-Based Continual Learning
Binh Tang
David S. Matteson
BDL
CLL
63
37
0
09 Jul 2020
Wandering Within a World: Online Contextualized Few-Shot Learning
Wandering Within a World: Online Contextualized Few-Shot Learning
Mengye Ren
Michael L. Iuzzolino
Michael C. Mozer
R. Zemel
CLL
54
32
0
09 Jul 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSL
CLL
82
293
0
26 Jun 2020
OvA-INN: Continual Learning with Invertible Neural Networks
OvA-INN: Continual Learning with Invertible Neural Networks
Guillaume Hocquet
O. Bichler
D. Querlioz
BDL
CLL
32
12
0
24 Jun 2020
GAN Memory with No Forgetting
GAN Memory with No Forgetting
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
42
121
0
13 Jun 2020
CPR: Classifier-Projection Regularization for Continual Learning
CPR: Classifier-Projection Regularization for Continual Learning
Sungmin Cha
Hsiang Hsu
Taebaek Hwang
Flavio du Pin Calmon
Taesup Moon
CLL
66
76
0
12 Jun 2020
Understanding the Role of Training Regimes in Continual Learning
Understanding the Role of Training Regimes in Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
71
225
0
12 Jun 2020
Variational Auto-Regressive Gaussian Processes for Continual Learning
Variational Auto-Regressive Gaussian Processes for Continual Learning
Sanyam Kapoor
Theofanis Karaletsos
T. Bui
BDL
41
26
0
09 Jun 2020
Continual Representation Learning for Biometric Identification
Continual Representation Learning for Biometric Identification
Bo Zhao
Shixiang Tang
Dapeng Chen
Hakan Bilen
Rui Zhao
CLL
74
35
0
08 Jun 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalan Borsos
Mojmír Mutný
Andreas Krause
CLL
76
234
0
06 Jun 2020
Continual Learning of Predictive Models in Video Sequences via
  Variational Autoencoders
Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders
Damian Campo
Giulia Slavic
Mohamad Baydoun
L. Marcenaro
C. Regazzoni
CLL
BDL
19
3
0
02 Jun 2020
Visually Grounded Continual Learning of Compositional Phrases
Visually Grounded Continual Learning of Compositional Phrases
Xisen Jin
Junyi Du
Arka Sadhu
Ram Nevatia
Xiang Ren
CLL
36
4
0
02 May 2020
Importance Driven Continual Learning for Segmentation Across Domains
Importance Driven Continual Learning for Segmentation Across Domains
S. Özgün
Anne-Marie Rickmann
Abhijit Guha Roy
Christian Wachinger
OOD
CLL
34
33
0
30 Apr 2020
Continual Deep Learning by Functional Regularisation of Memorable Past
Continual Deep Learning by Functional Regularisation of Memorable Past
Pingbo Pan
S. Swaroop
Alexander Immer
Runa Eschenhagen
Richard Turner
Mohammad Emtiyaz Khan
KELM
CLL
52
142
0
29 Apr 2020
Few-Shot Class-Incremental Learning
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
88
411
0
23 Apr 2020
Continual Learning with Extended Kronecker-factored Approximate
  Curvature
Continual Learning with Extended Kronecker-factored Approximate Curvature
Janghyeon Lee
H. Hong
Donggyu Joo
Junmo Kim
CLL
101
56
0
16 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple
  Baseline
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Davide Abati
Simone Calderara
BDL
CLL
83
914
0
15 Apr 2020
Memory-Efficient Incremental Learning Through Feature Adaptation
Memory-Efficient Incremental Learning Through Feature Adaptation
Ahmet Iscen
Jeffrey O. Zhang
Svetlana Lazebnik
Cordelia Schmid
CLL
VLM
35
163
0
01 Apr 2020
Semantic Drift Compensation for Class-Incremental Learning
Semantic Drift Compensation for Class-Incremental Learning
Lu Yu
Bartlomiej Twardowski
Xialei Liu
Luis Herranz
Kai Wang
Yongmei Cheng
Shangling Jui
Joost van de Weijer
CLL
86
343
0
01 Apr 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
Conditional Channel Gated Networks for Task-Aware Continual Learning
Davide Abati
Jakub M. Tomczak
Tijmen Blankevoort
Simone Calderara
Rita Cucchiara
B. Bejnordi
CLL
71
186
0
31 Mar 2020
SS-IL: Separated Softmax for Incremental Learning
SS-IL: Separated Softmax for Incremental Learning
Hongjoon Ahn
Jihwan Kwak
S. Lim
Hyeonsu Bang
Hyojun Kim
Taesup Moon
CLL
115
181
0
31 Mar 2020
Continual Learning with Node-Importance based Adaptive Group Sparse
  Regularization
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
Sangwon Jung
Hongjoon Ahn
Sungmin Cha
Taesup Moon
CLL
50
125
0
30 Mar 2020
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