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Class-incremental Learning via Deep Model Consolidation
v1v2v3v4 (latest)

Class-incremental Learning via Deep Model Consolidation

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
19 March 2019
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
    CLL
ArXiv (abs)PDFHTML

Papers citing "Class-incremental Learning via Deep Model Consolidation"

38 / 188 papers shown
On the importance of cross-task features for class-incremental learning
On the importance of cross-task features for class-incremental learning
Albin Soutif--Cormerais
Marc Masana
Joost van de Weijer
Bartlomiej Twardowski
CLL
292
23
0
22 Jun 2021
A Deep Learning Framework for Lifelong Machine Learning
A Deep Learning Framework for Lifelong Machine Learning
Charles X. Ling
Tanner A. Bohn
CLL
76
5
0
01 May 2021
Self-Supervised Training Enhances Online Continual Learning
Self-Supervised Training Enhances Online Continual LearningBritish Machine Vision Conference (BMVC), 2021
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
CLL
320
72
0
25 Mar 2021
Efficient Feature Transformations for Discriminative and Generative
  Continual Learning
Efficient Feature Transformations for Discriminative and Generative Continual LearningComputer Vision and Pattern Recognition (CVPR), 2021
Vinay Kumar Verma
Kevin J. Liang
Nikhil Mehta
Piyush Rai
Lawrence Carin
CLL
308
89
0
25 Mar 2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental
  Learning
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2021
A. Cheraghian
Shafin Rahman
Pengfei Fang
S. Roy
L. Petersson
Mehrtash Harandi
CLL
356
214
0
06 Mar 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical SurveyNeurocomputing (Neurocomputing), 2021
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLMCLL
512
476
0
25 Jan 2021
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape
  Reconstruction
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape ReconstructionInternational Conference on 3D Vision (3DV), 2021
Anh Thai
Stefan Stojanov
Zixuan Huang
Isaac Rehg
James M. Rehg
CLL
225
1
0
18 Jan 2021
Mining Data Impressions from Deep Models as Substitute for the
  Unavailable Training Data
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training DataIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Gaurav Kumar Nayak
Konda Reddy Mopuri
Saksham Jain
Anirban Chakraborty
199
14
0
15 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
328
134
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 DistillationComputer Vision and Image Understanding (CVIU), 2020
Can Peng
Kun-li Zhao
Sam Maksoud
Meng Li
Brian C. Lovell
CLLObjD
227
58
0
31 Dec 2020
AILearn: An Adaptive Incremental Learning Model for Spoof Fingerprint
  Detection
AILearn: An Adaptive Incremental Learning Model for Spoof Fingerprint DetectionMachine Learning with Applications (MLWA), 2020
Shivang Agarwal
A. Rattani
C. R. Chowdary
CLL
122
15
0
29 Dec 2020
Incremental Learning from Low-labelled Stream Data in Open-Set Video
  Face Recognition
Incremental Learning from Low-labelled Stream Data in Open-Set Video Face RecognitionPattern Recognition (Pattern Recognit.), 2020
Eric López-López
Carlos V. Regueiro
X. M. Pardo
CLL
112
25
0
17 Dec 2020
Self-Training for Class-Incremental Semantic Segmentation
Self-Training for Class-Incremental Semantic SegmentationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Lu Yu
Xialei Liu
Joost van de Weijer
CLLSSL
308
64
0
06 Dec 2020
Incremental Learning via Rate Reduction
Incremental Learning via Rate ReductionComputer Vision and Pattern Recognition (CVPR), 2020
Ziyang Wu
Christina Baek
Chong You
Yi-An Ma
CLL
128
43
0
30 Nov 2020
A Review of Open-World Learning and Steps Toward Open-World Learning
  Without Labels
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels
Mohsen Jafarzadeh
A. Dhamija
Steve Cruz
Chunchun Li
T. Ahmad
Terrance E. Boult
VLMOffRL
251
13
0
25 Nov 2020
mForms : Multimodal Form-Filling with Question Answering
mForms : Multimodal Form-Filling with Question AnsweringInternational Conference on Language Resources and Evaluation (LREC), 2020
Larry Heck
S. Heck
Anirudh S. Sundar
351
7
0
24 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
410
237
0
03 Nov 2020
Collaborative Method for Incremental Learning on Classification and
  Generation
Collaborative Method for Incremental Learning on Classification and GenerationInternational Conference on Information Photonics (ICIP), 2019
Byungju Kim
Jaeyoung Lee
Kyungsu Kim
Sungjin Kim
Junmo Kim
CLL
58
1
0
29 Oct 2020
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
427
807
0
28 Oct 2020
Towards Class-incremental Object Detection with Nearest Mean of Exemplars
Sheng Ren
Yan He
N. Xiong
Kehua Guo
CLL
110
2
0
19 Aug 2020
Memory Efficient Class-Incremental Learning for Image Classification
Memory Efficient Class-Incremental Learning for Image Classification
Hanbin Zhao
Haibo Wang
Yongjian Fu
Leilei Gan
Xi Li
CLLVLM
263
98
0
04 Aug 2020
Two-Level Residual Distillation based Triple Network for Incremental
  Object Detection
Two-Level Residual Distillation based Triple Network for Incremental Object Detection
Dongbao Yang
Can Ma
Dayan Wu
Can Ma
Fei Yang
Weiping Wang
ObjD
121
18
0
27 Jul 2020
Drinking from a Firehose: Continual Learning with Web-scale Natural
  Language
Drinking from a Firehose: Continual Learning with Web-scale Natural LanguageIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Hexiang Hu
Ozan Sener
Fei Sha
V. Koltun
CLL
221
28
0
18 Jul 2020
BI-MAML: Balanced Incremental Approach for Meta Learning
BI-MAML: Balanced Incremental Approach for Meta Learning
Yang Zheng
Jinlin Xiang
Kun Su
Eli Shlizerman
CLL
111
11
0
12 Jun 2020
Continual Representation Learning for Biometric Identification
Continual Representation Learning for Biometric Identification
Bo Zhao
Weizhen He
Dapeng Chen
Hakan Bilen
Rui Zhao
CLL
265
47
0
08 Jun 2020
Hierarchical Class-Based Curriculum Loss
Hierarchical Class-Based Curriculum Loss
Palash Goyal
Shalini Ghosh
116
9
0
05 Jun 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less
  Forgetting
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less ForgettingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Sanyuan Chen
Yutai Hou
Yiming Cui
Wanxiang Che
Ting Liu
Xiangzhan Yu
KELMCLL
295
256
0
27 Apr 2020
Memory-Efficient Incremental Learning Through Feature Adaptation
Memory-Efficient Incremental Learning Through Feature AdaptationEuropean Conference on Computer Vision (ECCV), 2020
Ahmet Iscen
Jeffrey O. Zhang
Svetlana Lazebnik
Cordelia Schmid
CLLVLM
295
188
0
01 Apr 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach
iTAML: An Incremental Task-Agnostic Meta-learning ApproachComputer Vision and Pattern Recognition (CVPR), 2020
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
CLLOOD
249
167
0
25 Mar 2020
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjDCLLVLM
389
119
0
17 Mar 2020
Ternary Feature Masks: zero-forgetting for task-incremental learning
Ternary Feature Masks: zero-forgetting for task-incremental learning
Marc Masana
Tinne Tuytelaars
Joost van de Weijer
CLL
137
30
0
23 Jan 2020
Maintaining Discrimination and Fairness in Class Incremental Learning
Maintaining Discrimination and Fairness in Class Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2019
Bowen Zhao
Xi Xiao
Guojun Gan
Bin Zhang
Shutao Xia
CLL
375
504
0
16 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Knowledge Distillation for Incremental Learning in Semantic SegmentationComputer Vision and Image Understanding (CVIU), 2019
Umberto Michieli
Pietro Zanuttigh
CLLVLM
297
107
0
08 Nov 2019
Continual Learning in Neural Networks
Continual Learning in Neural Networks
Rahaf Aljundi
CLL
195
42
0
07 Oct 2019
A continual learning survey: Defying forgetting in classification tasks
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
CLLKELM
299
258
0
18 Sep 2019
Incremental Concept Learning via Online Generative Memory Recall
Incremental Concept Learning via Online Generative Memory RecallIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Huaiyu Li
Weiming Dong
Bao-Gang Hu
CLL
122
27
0
05 Jul 2019
An Adaptive Random Path Selection Approach for Incremental Learning
An Adaptive Random Path Selection Approach for Incremental Learning
Jathushan Rajasegaran
Munawar Hayat
Salman Khan
Fahad Shahbaz Khan
Ling Shao
Ming-Hsuan Yang
ODLCLL
156
25
0
03 Jun 2019
Single-Net Continual Learning with Progressive Segmented Training (PST)
Single-Net Continual Learning with Progressive Segmented Training (PST)International Conference on Machine Learning and Applications (ICMLA), 2019
Xiaocong Du
Gouranga Charan
Frank Liu
Yu Cao
CLL
312
13
0
28 May 2019
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