ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.03550
  4. Cited By
CORe50: a New Dataset and Benchmark for Continuous Object Recognition

CORe50: a New Dataset and Benchmark for Continuous Object Recognition

9 May 2017
Vincenzo Lomonaco
Davide Maltoni
ArXivPDFHTML

Papers citing "CORe50: a New Dataset and Benchmark for Continuous Object Recognition"

50 / 72 papers shown
Title
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
Songlin Dong
Chenhao Ding
Jiangyang Li
Jizhou Han
Qiang Wang
Yuhang He
Yihong Gong
CLL
VLM
35
0
0
12 May 2025
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
M. Nori
Il Kim
Guanghui Wang
CLL
50
0
0
09 May 2025
Continual Learning With Quasi-Newton Methods
Continual Learning With Quasi-Newton Methods
Steven Vander Eeckt
Hugo Van hamme
CLL
BDL
69
0
0
25 Mar 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
Yuhang Liu
Wenjie Zhao
Yunhui Guo
OODD
72
0
0
19 Mar 2025
Generate to Discriminate: Expert Routing for Continual Learning
Generate to Discriminate: Expert Routing for Continual Learning
Yewon Byun
Sanket Vaibhav Mehta
Saurabh Garg
Emma Strubell
Michael Oberst
Bryan Wilder
Zachary Chase Lipton
78
0
0
31 Dec 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
71
2
0
01 Oct 2024
Tiny Robotics Dataset and Benchmark for Continual Object Detection
Tiny Robotics Dataset and Benchmark for Continual Object Detection
Francesco Pasti
Riccardo De Monte
Davide Dalle Pezze
Gian Antonio Susto
Nicola Bellotto
36
1
0
24 Sep 2024
Cross-Architecture Auxiliary Feature Space Translation for Efficient
  Few-Shot Personalized Object Detection
Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection
F. Barbato
Umberto Michieli
J. Moon
Pietro Zanuttigh
Mete Ozay
37
2
0
01 Jul 2024
Decision Boundary-aware Knowledge Consolidation Generates Better
  Instance-Incremental Learner
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner
Qiang Nie
Weifu Fu
Yuhuan Lin
Jialin Li
Yifeng Zhou
Yong Liu
Lei Zhu
Chengjie Wang
30
0
0
05 Jun 2024
Adaptive Memory Replay for Continual Learning
Adaptive Memory Replay for Continual Learning
James Seale Smith
Lazar Valkov
Shaunak Halbe
V. Gutta
Rogerio Feris
Z. Kira
Leonid Karlinsky
36
6
0
18 Apr 2024
DAM: Dynamic Adapter Merging for Continual Video QA Learning
DAM: Dynamic Adapter Merging for Continual Video QA Learning
Feng Cheng
Ziyang Wang
Yi-Lin Sung
Yan-Bo Lin
Mohit Bansal
Gedas Bertasius
CLL
MoMe
31
10
0
13 Mar 2024
Get a Grip: Reconstructing Hand-Object Stable Grasps in Egocentric
  Videos
Get a Grip: Reconstructing Hand-Object Stable Grasps in Egocentric Videos
Zhifan Zhu
Dima Damen
31
7
0
25 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
16
0
0
06 Dec 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory
  and Algorithm
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
Haizhou Shi
Hao Wang
CLL
34
18
0
18 Oct 2023
On-Device Learning with Binary Neural Networks
On-Device Learning with Binary Neural Networks
Lorenzo Vorabbi
Davide Maltoni
Stefano Santi
MQ
28
4
0
29 Aug 2023
SATHUR: Self Augmenting Task Hallucinal Unified Representation for
  Generalized Class Incremental Learning
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning
Sathursan Kanagarajah
Thanuja D. Ambegoda
Ranga Rodrigo
CLL
19
0
0
13 Aug 2023
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio
  Detection
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
Xiaohui Zhang
Jiangyan Yi
J. Tao
Chenglong Wang
Chuyuan Zhang
CLL
36
22
0
07 Aug 2023
Prediction Error-based Classification for Class-Incremental Learning
Prediction Error-based Classification for Class-Incremental Learning
Michal Zajkac
Tinne Tuytelaars
Gido M. van de Ven
CLL
18
8
0
30 May 2023
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions
Ali Ayub
Zachary De Francesco
Patrick Holthaus
Chrystopher L. Nehaniv
Kerstin Dautenhahn
CLL
HAI
26
5
0
22 May 2023
Continual Learning of Hand Gestures for Human-Robot Interaction
Continual Learning of Hand Gestures for Human-Robot Interaction
Xavier Cucurull
A. Garrell
36
2
0
13 Apr 2023
Streaming LifeLong Learning With Any-Time Inference
Streaming LifeLong Learning With Any-Time Inference
S. Banerjee
Vinay K. Verma
Vinay P. Namboodiri
CLL
22
3
0
27 Jan 2023
FedKNOW: Federated Continual Learning with Signature Task Knowledge
  Integration at Edge
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge
Yaxin Luopan
Rui Han
Qinglong Zhang
Chi Harold Liu
Guoren Wang
FedML
23
18
0
04 Dec 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for
  Graph Continual Learning
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
CLL
28
7
0
26 Nov 2022
Cold Start Streaming Learning for Deep Networks
Cold Start Streaming Learning for Deep Networks
Cameron R. Wolfe
Anastasios Kyrillidis
CLL
15
2
0
09 Nov 2022
Continual Learning with Evolving Class Ontologies
Continual Learning with Evolving Class Ontologies
Zhiqiu Lin
Deepak Pathak
Yu-xiong Wang
Deva Ramanan
Shu Kong
CLL
36
9
0
10 Oct 2022
A Simple Baseline that Questions the Use of Pretrained-Models in
  Continual Learning
A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning
Paul Janson
Wenxuan Zhang
Rahaf Aljundi
Mohamed Elhoseiny
VLM
SSL
CLL
29
52
0
10 Oct 2022
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal G. Thengane
Salman Khan
Munawar Hayat
F. Khan
BDL
VLM
CLL
112
46
0
06 Oct 2022
RECALL: Rehearsal-free Continual Learning for Object Classification
RECALL: Rehearsal-free Continual Learning for Object Classification
Markus Wendelin Knauer
Maximilian Denninger
Rudolph Triebel
VLM
33
1
0
29 Sep 2022
Evaluating Continual Test-Time Adaptation for Contextual and Semantic
  Domain Shifts
Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts
Tommie Kerssies
Mert Kilickaya
Joaquin Vanschoren
OOD
TTA
28
7
0
18 Aug 2022
Time to augment self-supervised visual representation learning
Time to augment self-supervised visual representation learning
A. Aubret
M. Ernst
Céline Teulière
Jochen Triesch
28
10
0
27 Jul 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
27
208
0
26 Jul 2022
Object Instance Identification in Dynamic Environments
Object Instance Identification in Dynamic Environments
Takuma Yagi
Md. Tasnimul Hasan
Yoichi Sato
20
0
0
10 Jun 2022
Fine-tuned Language Models are Continual Learners
Fine-tuned Language Models are Continual Learners
Thomas Scialom
Tuhin Chakrabarty
Smaranda Muresan
CLL
LRM
145
116
0
24 May 2022
Incremental Learning with Differentiable Architecture and Forgetting
  Search
Incremental Learning with Differentiable Architecture and Forgetting Search
James Smith
Zachary Seymour
Han-Pang Chiu
OOD
CLL
AI4CE
34
4
0
19 May 2022
Collaborative Learning for Hand and Object Reconstruction with
  Attention-guided Graph Convolution
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution
Tze Ho Elden Tse
K. Kim
A. Leonardis
H. Chang
3DH
19
57
0
27 Apr 2022
Alleviating Representational Shift for Continual Fine-tuning
Alleviating Representational Shift for Continual Fine-tuning
Shibo Jie
Zhi-Hong Deng
Ziheng Li
CLL
27
11
0
22 Apr 2022
General Incremental Learning with Domain-aware Categorical
  Representations
General Incremental Learning with Domain-aware Categorical Representations
Jiangwei Xie
Shipeng Yan
Xuming He
OOD
CLL
14
38
0
08 Apr 2022
A Closer Look at Rehearsal-Free Continual Learning
A Closer Look at Rehearsal-Free Continual Learning
James Smith
Junjiao Tian
Shaunak Halbe
Yen-Chang Hsu
Z. Kira
VLM
CLL
18
58
0
31 Mar 2022
Contrastive Learning for Cross-Domain Open World Recognition
Contrastive Learning for Cross-Domain Open World Recognition
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
SSL
26
3
0
17 Mar 2022
Graph Lifelong Learning: A Survey
Graph Lifelong Learning: A Survey
F. Febrinanto
Feng Xia
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
CLL
AI4CE
37
51
0
22 Feb 2022
Mobile Robot Manipulation using Pure Object Detection
Mobile Robot Manipulation using Pure Object Detection
Brent A. Griffin
39
7
0
28 Jan 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLL
VLM
139
91
0
17 Jan 2022
Ex-Model: Continual Learning from a Stream of Trained Models
Ex-Model: Continual Learning from a Stream of Trained Models
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
CLL
14
11
0
13 Dec 2021
Is Class-Incremental Enough for Continual Learning?
Is Class-Incremental Enough for Continual Learning?
Andrea Cossu
G. Graffieti
Lorenzo Pellegrini
Davide Maltoni
D. Bacciu
Antonio Carta
Vincenzo Lomonaco
CLL
40
30
0
06 Dec 2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative
  Replay
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
Peng Bao
Zonghai Chen
Ji-kai Wang
Deyun Dai
Hao Zhao
28
9
0
15 Nov 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to
  Promote Research Transparency and Comparability
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability
Martin Mundt
Steven Braun
Quentin Delfosse
Kristian Kersting
21
35
0
07 Oct 2021
Annotation Cost Reduction of Stream-based Active Learning by Automated
  Weak Labeling using a Robot Arm
Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm
Kanata Suzuki
Taro Sunagawa
Tomotake Sasaki
Takashi Katoh
15
3
0
03 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang-Cuong Pham
Chenghao Liu
S. Hoi
CLL
71
42
0
01 Oct 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental
  Learning
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
James Smith
Yen-Chang Hsu
John C. Balloch
Yilin Shen
Hongxia Jin
Z. Kira
CLL
46
161
0
17 Jun 2021
Class-Incremental Learning with Generative Classifiers
Class-Incremental Learning with Generative Classifiers
Gido M. van de Ven
Zhe Li
A. Tolias
BDL
47
58
0
20 Apr 2021
12
Next