CORe50: a New Dataset and Benchmark for Continuous Object Recognition

9 May 2017

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

50 / 305 papers shown

Title
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence Liyuan Wang Xingxing Zhang Qian Li Mingtian Zhang Hang Su Jun Zhu Yi Zhong 175 80 0 29 Aug 2023
CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology PreservationIEEE International Conference on Computer Vision (ICCV), 2023 Hongguang Zhu Yunchao Wei Xiaodan Liang Chunjie Zhang Yao-Min Zhao VLM 127 35 0 14 Aug 2023
Ada-QPacknet -- adaptive pruning with bit width reduction as an efficient continual learning method without forgetting Marcin Pietroñ Dominik Zurek Kamil Faber Roberto Corizzo CLL 179 2 0 14 Aug 2023
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning Sathursan Kanagarajah Thanuja D. Ambegoda Ranga Rodrigo CLL 255 0 0 13 Aug 2023
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio DetectionInternational Conference on Machine Learning (ICML), 2023 Xiaohui Zhang Jiangyan Yi Jianhua Tao Chenglong Wang Chuyuan Zhang CLL 240 29 0 07 Aug 2023
Detecting Morphing Attacks via Continual Incremental Training Lorenzo Pellegrini Guido Borghi Annalisa Franco Davide Maltoni CLL 244 5 0 27 Jul 2023
EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video Matthias De Lange H. Eghbalzadeh Reuben Tan Michael L. Iuzzolino Franziska Meier Karl Ridgeway EgoV 122 1 0 11 Jul 2023
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Julien Nicolas Florent Chiaroni Imtiaz Masud Ziko Ola Ahmad Christian Desrosiers Jose Dolz VLM CLL 252 6 0 11 Jul 2023
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing PlatformAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Mateusz Wójcik Witold Ko'sciukiewicz Mateusz Baran Tomasz Kajdanowicz Adam Gonczarek CLL 175 2 0 11 Jul 2023
Human Inspired Progressive Alignment and Comparative Learning for Grounded Word AcquisitionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Yuwei Bao B. Lattimer J. Chai CLL 234 1 0 05 Jul 2023
RanPAC: Random Projections and Pre-trained Models for Continual LearningNeural Information Processing Systems (NeurIPS), 2023 Mark D Mcdonnell Dong Gong Amin Parvaneh Ehsan Abbasnejad Anton Van Den Hengel VLM CLL 425 156 0 05 Jul 2023
RDumb: A simple approach that questions our progress in continual test-time adaptationNeural Information Processing Systems (NeurIPS), 2023 Ori Press Steffen Schneider Matthias Kümmerer Matthias Bethge TTA 258 46 0 08 Jun 2023
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and von Mises-Fisher Distributions for Online Continual LearningAAAI Conference on Artificial Intelligence (AAAI), 2023 Nicolas Michel Giovanni Chierchia Romain Negrel J. Bercher 179 12 0 06 Jun 2023
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot LearningNeural Information Processing Systems (NeurIPS), 2023 Bo Liu Yifeng Zhu Chongkai Gao Yihao Feng Qian Liu Yuke Zhu Peter Stone CLL 575 449 0 05 Jun 2023
Evaluating Continual Learning on a Home Robot Sam Powers Abhi Gupta Chris Paxton CLL 218 4 0 04 Jun 2023
A Computational Account Of Self-Supervised Visual Learning From Egocentric Object PlayAnnual Meeting of the Cognitive Science Society (CogSci), 2023 Deepayan Sanyal Joel Michelson Yu’an Yang James Ainooson M. Kunda SSL OCL 116 4 0 30 May 2023
Prediction Error-based Classification for Class-Incremental LearningInternational Conference on Learning Representations (ICLR), 2023 Michal Zajkac Tinne Tuytelaars Gido M. van de Ven CLL 242 12 0 30 May 2023
Batch Model Consolidation: A Multi-Task Model Consolidation FrameworkComputer Vision and Pattern Recognition (CVPR), 2023 Iordanis Fostiropoulos Jiaye Zhu Laurent Itti MoMe CLL 135 3 0 25 May 2023
Learning high-level visual representations from a child's perspective without strong inductive biases A. Orhan Brenden M. Lake SSL 230 33 0 24 May 2023
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 236 13 0 22 May 2023
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge LearningComputer Vision and Pattern Recognition (CVPR), 2023 Runqi Wang Xiaoyue Duan Guoliang Kang Jianzhuang Liu Shaohui Lin Songcen Xu Jinhu Lv Baochang Zhang CLL VLM 171 63 0 19 May 2023
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code Martin Weyssow Xin Zhou Kisub Kim David Lo H. Sahraoui CLL KELM 340 11 0 06 May 2023
Learning Hand-Held Object Reconstruction from In-The-Wild VideosEuropean Conference on Computer Vision (ECCV), 2023 Aditya Prakash Matthew Chang Matthew Jin Saurabh Gupta 3DH 153 5 0 04 May 2023
Continual Learning of Hand Gestures for Human-Robot Interaction Xavier Cucurull A. Garrell 123 2 0 13 Apr 2023
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning Amir Nazemi Zeyad Moustafa Paul Fieguth VOS CLL 192 6 0 09 Apr 2023
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual LearningNeurocomputing (Neurocomputing), 2023 Antonio Carta Andrea Cossu Vincenzo Lomonaco D. Bacciu Joost van de Weijer FedML 192 6 0 28 Mar 2023
Remind of the Past: Incremental Learning with Analogical Prompts Zhiheng Ma Xiaopeng Hong Beinan Liu Yabin Wang Pinyue Guo Huiyun Li CLL 203 3 0 24 Mar 2023
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental LearningIEEE International Conference on Computer Vision (ICCV), 2023 A. Panos Yuriko Kobe Daniel Olmeda Reino Rahaf Aljundi Richard Turner CLL 479 49 0 23 Mar 2023
Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and RefinementAAAI Conference on Artificial Intelligence (AAAI), 2023 Fushuo Huo Wenchao Xu Jingcai Guo Yining Qi Yunfeng Fan Song Guo CLL 387 22 0 20 Mar 2023
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum LearningMachine-mediated learning (ML), 2023 Kamil Faber Dominik Zurek Marcin Pietroñ Nathalie Japkowicz Antonio Vergari Roberto Corizzo CLL 142 13 0 16 Mar 2023
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and InsightsIEEE Access (IEEE Access), 2023 Kamil Faber Roberto Corizzo B. Sniezynski Nathalie Japkowicz 166 14 0 14 Mar 2023
Semi-supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial DiscriminationComputer Vision and Pattern Recognition (CVPR), 2023 Zimeng Zhao Binghui Zuo Zhiyu Long Yangang Wang 155 7 0 11 Mar 2023
Detachedly Learn a Classifier for Class-Incremental Learning Ziheng Li Shibo Jie Zhi-Hong Deng CLL SSL 126 0 0 23 Feb 2023
New Insights for the Stability-Plasticity Dilemma in Online Continual LearningInternational Conference on Learning Representations (ICLR), 2023 Dahuin Jung Dongjin Lee Sunwon Hong Hyemi Jang Ho Bae Sungroh Yoon CLL 186 18 0 17 Feb 2023
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable PromptingComputer Vision and Pattern Recognition (CVPR), 2023 Benjamin Bowman Alessandro Achille Luca Zancato Matthew Trager Pramuditha Perera Giovanni Paolini Stefano Soatto VPVLM 151 19 0 15 Feb 2023
CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive LearningInternational Conference on Artificial Neural Networks (ICANN), 2023 Xia Xu Jochen Triesch SSL 161 2 0 05 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 773 1,042 0 31 Jan 2023
Continual Learning for Predictive Maintenance: Overview and ChallengesIntelligent Systems with Applications (ISA), 2023 J. Hurtado Dario Salvati Rudy Semola Mattia Bosio Vincenzo Lomonaco 146 52 0 29 Jan 2023
Streaming LifeLong Learning With Any-Time InferenceIEEE International Conference on Robotics and Automation (ICRA), 2023 S. Banerjee Vinay Kumar Verma Vinay P. Namboodiri CLL 183 3 0 27 Jan 2023
Are Labels Needed for Incremental Instance Learning? Mert Kilickaya Joaquin Vanschoren CLL SSL 321 3 0 26 Jan 2023
On the challenges to learn from Natural Data Streams Guido Borghi G. Graffieti Davide Maltoni 135 2 0 09 Jan 2023
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning Vincenzo Lomonaco Lorenzo Pellegrini G. Graffieti Davide Maltoni 199 2 0 06 Jan 2023
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding Lorenzo Pellegrini Chenchen Zhu Fanyi Xiao Zhicheng Yan Antonio Carta Matthias De Lange Vincenzo Lomonaco Roshan Sumbaly Pau Rodríguez López David Vazquez CLL 223 7 0 13 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at EdgeIEEE International Conference on Data Engineering (ICDE), 2022 Yaxin Luopan Rui Han Qinglong Zhang Chi Harold Liu Guoren Wang FedML 206 22 0 04 Dec 2022
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without InterferenceAAAI Conference on Artificial Intelligence (AAAI), 2022 Yabin Wang Zhiheng Ma Zhiwu Huang Yaowei Wang Zhou Su Xiaopeng Hong 187 58 0 29 Nov 2022
Lifelong Embedding Learning and Transfer for Growing Knowledge GraphsAAAI Conference on Artificial Intelligence (AAAI), 2022 Yuanning Cui Yuxin Wang Zequn Sun Wenqiang Liu Yiqiao Jiang Kexin Han Wei Hu CLL KELM 190 43 0 29 Nov 2022
Neural Architecture for Online Ensemble Continual Learning Mateusz Wójcik Witold Ko'sciukiewicz Tomasz Kajdanowicz Adam Gonczarek CLL 226 1 0 27 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual LearningACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022 Jihoon Ko Shinhwan Kang Taehyung Kwon Heechan Moon Kijung Shin CLL 258 8 0 26 Nov 2022
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual LearningComputer Vision and Pattern Recognition (CVPR), 2022 James Smith Leonid Karlinsky V. Gutta Paola Cascante-Bonilla Donghyun Kim Assaf Arbelle Yikang Shen Rogerio Feris Z. Kira CLL VPVLM VLM 324 433 0 23 Nov 2022
RF-Annotate: Automatic RF-Supervised Image Annotation of Common Objects in ContextIEEE International Conference on Robotics and Automation (ICRA), 2022 E.M.S.L. Sie Deepak Vasisht 77 6 0 16 Nov 2022