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2102.09517
Cited By
Essentials for Class Incremental Learning
18 February 2021
Sudhanshu Mittal
Silvio Galesso
Thomas Brox
CLL
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Papers citing
"Essentials for Class Incremental Learning"
49 / 49 papers shown
Title
FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation
Mohammadmahdi Honarmand
O. Mutlu
Parnian Azizian
Saimourya Surabhi
Dennis Paul Wall
TTA
75
0
0
29 Mar 2025
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Yupei Li
M. Milling
Björn Schuller
AI4CE
107
0
0
27 Mar 2025
An experimental approach on Few Shot Class Incremental Learning
Marinela Adam
CLL
59
0
0
14 Mar 2025
Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks
Yanis Basso-Bert
Anca Molnos
Romain Lemaire
William Guicquero
Antoine Dupret
CLL
46
0
0
10 Mar 2025
Adapter-Enhanced Semantic Prompting for Continual Learning
Baocai Yin
Ji Zhao
Huajie Jiang
Ningning Hou
Yongli Hu
Amin Beheshti
Ming-Hsuan Yang
Yuankai Qi
CLL
VLM
102
0
0
15 Dec 2024
Continual Learning of Nonlinear Independent Representations
Boyang Sun
Ignavier Ng
Guangyi Chen
Yifan Shen
Qirong Ho
Kun Zhang
OOD
CML
45
0
0
11 Aug 2024
Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception
Julia Hindel
Daniele Cattaneo
Abhinav Valada
CLL
41
0
0
25 Jul 2024
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
CLL
47
5
0
13 Jun 2024
HateDebias: On the Diversity and Variability of Hate Speech Debiasing
Nankai Lin
Hongyan Wu
Zhengming Chen
Zijian Li
Lianxi Wang
Shengyi Jiang
Dong Zhou
Aimin Yang
31
0
0
07 Jun 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory
Naibo Wang
Yuchen Deng
Wenjie Feng
Jianwei Yin
See-Kiong Ng
DiffM
FedML
47
1
0
22 May 2024
Densely Distilling Cumulative Knowledge for Continual Learning
Zenglin Shi
Pei Liu
Tong Su
Yunpeng Wu
Kuien Liu
Yu Song
Meng Wang
CLL
41
0
0
16 May 2024
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
Jaeill Kim
Wonseok Lee
Moonjung Eo
Wonjong Rhee
CLL
44
0
0
22 Mar 2024
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
Mingkui Tan
Guohao Chen
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
Peilin Zhao
Shuaicheng Niu
TTA
OOD
39
4
0
18 Mar 2024
Hierarchical Prompts for Rehearsal-free Continual Learning
Yukun Zuo
Hantao Yao
Lu Yu
Liansheng Zhuang
Changsheng Xu
CLL
VLM
30
1
0
21 Jan 2024
Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition
Yukun Zuo
Hantao Yao
Liansheng Zhuang
Changsheng Xu
15
2
0
11 Jan 2024
Balancing Continual Learning and Fine-tuning for Human Activity Recognition
Chi Ian Tang
Lorena Qendro
Dimitris Spathis
F. Kawsar
Akhil Mathur
Cecilia Mascolo
SSL
HAI
29
1
0
04 Jan 2024
Negotiated Representations to Prevent Forgetting in Machine Learning Applications
Nuri Korhan
Ceren Öner
CLL
24
0
0
30 Nov 2023
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms
Young D. Kwon
Jagmohan Chauhan
Hong Jia
Stylianos I. Venieris
Cecilia Mascolo
38
11
0
19 Nov 2023
Applications of Sequential Learning for Medical Image Classification
Sohaib Naim
B. Caffo
Haris I. Sair
Craig K. Jones
25
0
0
26 Sep 2023
FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization
Sejin Park
Taehyung Lee
Yeejin Lee
Byeongkeun Kang
WSOL
CLL
39
4
0
17 Sep 2023
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts
Johannes Jakubik
Daniel Weber
Patrick Hemmer
Michael Vossing
G. Satzger
29
2
0
06 Jul 2023
Dealing with Cross-Task Class Discrimination in Online Continual Learning
Yiduo Guo
Bing-Quan Liu
Dongyan Zhao
CLL
30
20
0
24 May 2023
torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in Python
Joanna Komorniczak
Pawel Ksieniewicz
3DV
10
3
0
16 May 2023
Preserving Locality in Vision Transformers for Class Incremental Learning
Bowen Zheng
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
27
5
0
14 Apr 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation
Jie M. Zhang
Chen Chen
Weiming Zhuang
Lingjuan Lv
CLL
FedML
33
45
0
13 Mar 2023
Incremental Learning of Acoustic Scenes and Sound Events
Manjunath Mulimani
A. Mesaros
CLL
27
6
0
28 Feb 2023
Are Labels Needed for Incremental Instance Learning?
Mert Kilickaya
Joaquin Vanschoren
CLL
SSL
37
1
0
26 Jan 2023
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
Bin Huang
Zhineng Chen
Peng Zhou
Jiayin Chen
Zuxuan Wu
CLL
33
22
0
29 Dec 2022
Neural Dependencies Emerging from Learning Massive Categories
Ruili Feng
Kecheng Zheng
Kai Zhu
Yujun Shen
Jian Zhao
Yukun Huang
Deli Zhao
Jingren Zhou
Michael I. Jordan
Zhengjun Zha
UQCV
19
0
0
21 Nov 2022
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning
Zenglin Shi
Jing Jie
Ying Sun
J. Lim
Mengmi Zhang
CLL
39
1
0
21 Nov 2022
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation
Donghyeon Baek
Youngmin Oh
Sanghoon Lee
Junghyup Lee
Bumsub Ham
CLL
VLM
16
27
0
12 Oct 2022
Schedule-Robust Online Continual Learning
Ruohan Wang
Marco Ciccone
Giulia Luise
A. Yapp
Massimiliano Pontil
C. Ciliberto
CLL
32
4
0
11 Oct 2022
A Memory Transformer Network for Incremental Learning
Ahmet Iscen
Thomas Bird
Mathilde Caron
Alireza Fathi
Cordelia Schmid
CLL
121
14
0
10 Oct 2022
Continual Learning for Pose-Agnostic Object Recognition in 3D Point Clouds
Xihao Wang
Xian Wei
3DPC
35
5
0
11 Sep 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
27
210
0
26 Jul 2022
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
Chuqiao Li
Zhiwu Huang
D. Paudel
Yabin Wang
Mohamad Shahbazi
Xiaopeng Hong
Luc Van Gool
25
48
0
11 May 2022
Improving Feature Generalizability with Multitask Learning in Class Incremental Learning
Dongpeng Ma
Chi Ian Tang
Cecilia Mascolo
CLL
14
4
0
26 Apr 2022
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning
Nazmul Karim
Umar Khalid
Ashkan Esmaeili
Nazanin Rahnavard
NoLa
CLL
33
15
0
21 Apr 2022
Incremental Prototype Tuning for Class Incremental Learning
Jieren Deng
Jianhua Hu
Haojian Zhang
Yunkuan Wang
CLL
VLM
34
3
0
07 Apr 2022
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
S. Zheng
P. Zhao
Mingkui Tan
OOD
VLM
TTA
28
311
0
06 Apr 2022
SATS: Self-Attention Transfer for Continual Semantic Segmentation
Yiqiao Qiu
Yixing Shen
Zhuohao Sun
Yanchong Zheng
Xiaobin Chang
Weishi Zheng
Ruixuan Wang
CLL
27
28
0
15 Mar 2022
Diagnosing Batch Normalization in Class Incremental Learning
Minghao Zhou
Quanziang Wang
Jun Shu
Qian Zhao
Deyu Meng
CLL
48
6
0
16 Feb 2022
Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning
Sungmin Cha
Sungjun Cho
Dasol Hwang
Sunwon Hong
Moontae Lee
Taesup Moon
CLL
59
18
0
29 Jan 2022
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLL
BDL
32
128
0
03 Jan 2022
Concept Representation Learning with Contrastive Self-Supervised Learning
Daniel T. Chang
SSL
6
4
0
10 Dec 2021
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
Yujun Shi
Kuangqi Zhou
Jian Liang
Zihang Jiang
Jiashi Feng
Philip Torr
Song Bai
Vincent Y. F. Tan
CLL
28
62
0
09 Dec 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
25
73
0
23 Sep 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting
Anna Kukleva
Hilde Kuehne
Bernt Schiele
CLL
15
50
0
18 Aug 2021
Revisiting Catastrophic Forgetting in Class Incremental Learning
Zixuan Ni
Haizhou Shi
Siliang Tang
Longhui Wei
Qi Tian
Yueting Zhuang
CLL
6
8
0
26 Jul 2021
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