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Continual Contrastive Learning for Image Classification
v1v2v3v4 (latest)

Continual Contrastive Learning for Image Classification

5 July 2021
Zhiwei Lin
Yongtao Wang
Hongxiang Lin
    SSLCLL
ArXiv (abs)PDFHTMLGithub (4★)

Papers citing "Continual Contrastive Learning for Image Classification"

9 / 9 papers shown
Title
Enhancing Semantic Segmentation with Continual Self-Supervised Pre-training
Enhancing Semantic Segmentation with Continual Self-Supervised Pre-training
Brown Ebouky
Ajad Chhatkuli
Cristiano Malossi
Christoph Studer
Roy Assaf
Andrea Bartezzaghi
CLL
93
0
0
22 Sep 2025
Patch-Based Contrastive Learning and Memory Consolidation for Online
  Unsupervised Continual Learning
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
Cameron Taylor
Vassilis Vassiliades
C. Dovrolis
CLL
264
1
0
24 Sep 2024
CroMo-Mixup: Augmenting Cross-Model Representations for Continual
  Self-Supervised Learning
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
Erum Mushtaq
D. Yaldiz
Yavuz Faruk Bakman
Jie Ding
Chenyang Tao
Dimitrios Dimitriadis
A. Avestimehr
CLL
300
4
0
16 Jul 2024
Forward-Backward Knowledge Distillation for Continual Clustering
Forward-Backward Knowledge Distillation for Continual Clustering
M. Sadeghi
Zihan Wang
Narges Armanfard
CLL
153
2
0
29 May 2024
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction HypothesisInternational Conference on Learning Representations (ICLR), 2024
Satoki Ishikawa
Makoto Yamada
Han Bao
Yuki Takezawa
425
0
0
23 May 2024
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELMMU
202
77
0
16 Jul 2023
Kaizen: Practical Self-supervised Continual Learning with Continual
  Fine-tuning
Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Chi Ian Tang
Lorena Qendro
Dimitris Spathis
F. Kawsar
Cecilia Mascolo
Akhil Mathur
CLL
204
17
0
30 Mar 2023
Large-scale Pre-trained Models are Surprisingly Strong in Incremental
  Novel Class Discovery
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class DiscoveryInternational Conference on Pattern Recognition (ICPR), 2023
Mingxuan Liu
Subhankar Roy
Zhun Zhong
Andrii Zadaianchuk
Elisa Ricci
CLLSSL
351
12
0
28 Mar 2023
CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition
M. Dhiaf
Mohamed Ali Souibgui
Kai Wang
Yuyang Liu
Yousri Kessentini
Alicia Fornés
Ahmed Cheikh Rouhou
CLL
155
2
0
16 Mar 2023
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