Class-incremental Learning via Deep Model Consolidation

19 March 2019

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

50 / 185 papers shown

Title
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation Zekang Zhang Guangyu Gao Zhiyuan Fang Jianbo Jiao Yunchao Wei CLL 26 31 0 13 Nov 2022
Continual Learning with Evolving Class Ontologies Zhiqiu Lin Deepak Pathak Yu-xiong Wang Deva Ramanan Shu Kong CLL 41 9 0 10 Oct 2022
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER Ruotian Ma Xuanting Chen Lin Zhang Xin Zhou Junzhe Wang Tao Gui Qi Zhang Xiang Gao Yunwen Chen 44 8 0 10 Oct 2022
Multi-stream Fusion for Class Incremental Learning in Pill Image Classification Trong T. Nguyen Hieu H. Pham Phi Le Nguyen T. Nguyen Minh N. Do CLL 17 4 0 05 Oct 2022
Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation Ya-nan Han Jian-wei Liu KELM CLL 38 10 0 12 Sep 2022
Continuous QA Learning with Structured Prompts Yinhe Zheng CLL 33 1 0 31 Aug 2022
Anti-Retroactive Interference for Lifelong Learning Runqi Wang Yuxiang Bao Baochang Zhang Jianzhuang Liu Wentao Zhu Guodong Guo KELM CLL 21 21 0 27 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 45 113 0 24 Aug 2022
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge Xiaofan Yu Yunhui Guo Sicun Gao Tajana Simunic CLL SSL 36 15 0 24 Aug 2022
Multi-domain Learning for Updating Face Anti-spoofing Models Xiao Guo Yaojie Liu Anil Jain Xiaoming Liu CLL CVBM 21 30 0 23 Aug 2022
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks Aleksandr Dekhovich David Tax M. Sluiter Miguel A. Bessa CLL 26 20 0 09 Aug 2022
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning Yajing Kong Liu Liu Zhen Wang Dacheng Tao CLL 31 35 0 25 Jul 2022
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning Huitong Chen Yu Wang Q. Hu CLL 27 16 0 30 Jun 2022
Continual Learning with Transformers for Image Classification Beyza Ermis Giovanni Zappella Martin Wistuba Aditya Rawal Cédric Archambeau CLL 41 21 0 28 Jun 2022
Class Impression for Data-free Incremental Learning Sana Ayromlou Purang Abolmaesumi Teresa S. M. Tsang Xiaoxiao Li 20 4 0 26 Jun 2022
Sample Condensation in Online Continual Learning Mattia Sangermano Antonio Carta Andrea Cossu D. Bacciu DD 25 42 0 23 Jun 2022
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zhangyang Wang CLL 26 4 0 15 Jun 2022
Continual Object Detection: A review of definitions, strategies, and challenges Angelo G. Menezes Gustavo de Moura Cézanne Alves André C. P. L. F. de Carvalho ObjD 63 51 0 30 May 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection Huiping Zhuang Zhenyu Weng Hongxin Wei Renchunzi Xie Kar-Ann Toh Zhiping Lin CLL 30 35 0 30 May 2022
Continual Learning for Visual Search with Backward Consistent Feature Embedding Timmy S. T. Wan Jun-Cheng Chen Tzer-Yi Wu Chu-Song Chen CLL VLM 31 18 0 26 May 2022
Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data Yujin Tang Yifan Peng Weishi Zheng CLL 21 31 0 19 Apr 2022
An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions M. Jehanzeb Mirza Marc Masana Horst Possegger Horst Bischof CLL 14 74 0 19 Apr 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection Karim Guirguis Ahmed Hendawy George Eskandar Mohamed Abdelsamad Matthias Kayser Jürgen Beyerer 19 15 0 11 Apr 2022
Re-examining Distillation For Continual Object Detection Eli Verwimp Kuo Yang Sarah Parisot Hong Lanqing Jingyu Sun Eduardo Pérez-Pellitero Matthias De Lange Tinne Tuytelaars VLM 30 6 0 04 Apr 2022
Meta-attention for ViT-backed Continual Learning Mengqi Xue Haofei Zhang Mingli Song Mingli Song CLL 32 42 0 22 Mar 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
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation Youming Deng Yansheng Li Yongjun Zhang Xiang Xiang Jian Wang Jingdong Chen Jiayi Ma 39 20 0 14 Mar 2022
Memory Efficient Continual Learning with Transformers Beyza Ermis Giovanni Zappella Martin Wistuba Aditya Rawal Cédric Archambeau CLL 26 42 0 09 Mar 2022
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification L. Yu Zhenyu Weng Yuqing Wang Yuesheng Zhu CLL 22 6 0 23 Feb 2022
Learning to Predict Gradients for Semi-Supervised Continual Learning Yan Luo Yongkang Wong Mohan S. Kankanhalli Qi Zhao SSL CLL 44 6 0 23 Jan 2022
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs Mehreen Sirshar Taimur Hassan M. Akram S. Khan 27 33 0 07 Jan 2022
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items Taimur Hassan S. Akçay Bennamoun Salman Khan Naoufel Werghi 35 23 0 07 Jan 2022
Ex-Model: Continual Learning from a Stream of Trained Models Antonio Carta Andrea Cossu Vincenzo Lomonaco D. Bacciu CLL 19 11 0 13 Dec 2021
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning H. Sahbi Haoming Zhan AI4CE 23 1 0 22 Nov 2021
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection Na Dong Yongqiang Zhang M. Ding G. Lee CLL 22 17 0 28 Oct 2021
Incremental Learning for Animal Pose Estimation using RBF k-DPP Gaurav Kumar Nayak Het Shah Anirban Chakraborty CLL 25 3 0 26 Oct 2021
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification Kai Wang Xialei Liu Luis Herranz Joost van de Weijer CLL 27 4 0 21 Oct 2021
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning Taimur Hassan Bilal Hassan M. Akram Shahrukh K Hashmi A. Taguri Naoufel Werghi OOD 44 17 0 18 Oct 2021
Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts Yujiang He AI4TS CLL 16 2 0 24 Aug 2021
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency Matteo Boschini Pietro Buzzega Lorenzo Bonicelli Angelo Porrello Simone Calderara CLL 35 40 0 14 Aug 2021
DIODE: Dilatable Incremental Object Detection Can Peng Kun-li Zhao Sam Maksoud Tianren Wang Brian C. Lovell CLL ObjD 27 9 0 12 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
Multi-View Correlation Distillation for Incremental Object Detection Dongbao Yang Yu Zhou Weiping Wang 24 59 0 05 Jul 2021
Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks Hakbin Kim Dong-Wan Choi 17 2 0 03 Jul 2021
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network Jong-Yeong Kim Dong-Wan Choi CLL 18 25 0 03 Jul 2021
Learning without Forgetting for 3D Point Cloud Objects T. Chowdhury Mahira Jalisha A. Cheraghian Shafin Rahman 3DPC 35 9 0 27 Jun 2021
On the importance of cross-task features for class-incremental learning Albin Soutif--Cormerais Marc Masana Joost van de Weijer Bartlomiej Twardowski CLL 35 19 0 22 Jun 2021
A Deep Learning Framework for Lifelong Machine Learning Charles X. Ling Tanner A. Bohn CLL 22 5 0 01 May 2021
Self-Supervised Training Enhances Online Continual Learning Jhair Gallardo Tyler L. Hayes Christopher Kanan CLL 27 68 0 25 Mar 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning Vinay Kumar Verma Kevin J Liang Nikhil Mehta Piyush Rai Lawrence Carin CLL 38 76 0 25 Mar 2021