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When Video Classification Meets Incremental Classes
v1v2 (latest)

When Video Classification Meets Incremental Classes

ACM Multimedia (ACM MM), 2021
30 June 2021
Hanbin Zhao
Xin Qin
Shihao Su
Yongjian Fu
Zibo Lin
Xi Li
    CLL
ArXiv (abs)PDFHTML

Papers citing "When Video Classification Meets Incremental Classes"

13 / 13 papers shown
CRISP: Contrastive Residual Injection and Semantic Prompting for Continual Video Instance Segmentation
CRISP: Contrastive Residual Injection and Semantic Prompting for Continual Video Instance Segmentation
Baichen Liu
Qi Lyu
Xudong Wang
Jiahua Dong
Lianqing Liu
Zhi Han
CLLVLM
136
0
0
14 Aug 2025
ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning
ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning
Jongseo Lee
Kyungho Bae
Kyle Min
Gyeong-Moon Park
J. Choi
CLLVLM
183
0
0
14 Aug 2025
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
Qian Feng
Dawei Zhou
Hanbin Zhao
Chao Zhang
Jiahua Dong
Dengxin Dai
Hui Qian
VLMCLL
322
9
0
01 Jul 2025
Teacher Agent: A Knowledge Distillation-Free Framework for
  Rehearsal-based Video Incremental Learning
Teacher Agent: A Knowledge Distillation-Free Framework for Rehearsal-based Video Incremental Learning
Shengqin Jiang
Yao-Huei Fang
Haokui Zhang
Qingshan Liu
Yuankai Qi
Yang Yang
Peifeng Wang
CLL
283
1
0
01 Jun 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You NeedInternational Journal of Computer Vision (IJCV), 2023
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
235
167
0
13 Mar 2023
Generative Negative Text Replay for Continual Vision-Language
  Pretraining
Generative Negative Text Replay for Continual Vision-Language PretrainingEuropean Conference on Computer Vision (ECCV), 2022
Shipeng Yan
Lanqing Hong
Hang Xu
Jianhua Han
Tinne Tuytelaars
Zhenguo Li
Xuming He
VLMCLLCLIP
172
24
0
31 Oct 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental
  Learning
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental LearningInternational Conference on Learning Representations (ICLR), 2022
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
313
189
0
26 May 2022
RBC: Rectifying the Biased Context in Continual Semantic Segmentation
RBC: Rectifying the Biased Context in Continual Semantic SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Hanbin Zhao
Fengyu Yang
Xinghe Fu
Xi Li
CLL
235
38
0
16 Mar 2022
Deep Class Incremental Learning from Decentralized Data
Deep Class Incremental Learning from Decentralized DataIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Xiaohan Zhang
Songlin Dong
Jinjie Chen
Qiaoling Tian
Yihong Gong
Xiaopeng Hong
CLL
183
12
0
11 Mar 2022
vCLIMB: A Novel Video Class Incremental Learning Benchmark
vCLIMB: A Novel Video Class Incremental Learning BenchmarkComputer Vision and Pattern Recognition (CVPR), 2022
Andrés Villa
Kumail Alhamoud
Juan Carlos León Alcázar
Fabian Caba Heilbron
Victor Escorcia
Guohao Li
CLL
417
43
0
23 Jan 2022
MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person
  Re-identification
MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identificationACM Multimedia (ACM MM), 2021
Yiming Wu
Xintian Wu
Xi Li
Jian Tian
314
28
0
12 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An OverviewIET Computer Vision (ICV), 2021
Haoxuan Qu
Hossein Rahmani
Kepeng Xu
Bryan M. Williams
Jun Liu
VLMCLL
521
99
0
23 Sep 2021
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot
  Class-Incremental Learning
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao
Yongjian Fu
Mintong Kang
Qi Tian
Leilei Gan
Xi Li
CLL
490
135
0
28 Jun 2020
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