mlsanityData to 7 Oct 2026

CORe50: a New Dataset and Benchmark for Continuous Object Recognition

arXiv 1705.03550 ↗First posted 9 May 2017cs.CV cs.AI cs.LGcited by 287

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Abstract (arXiv)

Continuous/Lifelong learning of high-dimensional data streams is a challenging research problem. In fact, fully retraining models each time new data become available is infeasible, due to computational and storage issues, while na"ive incremental strategies have been shown to suffer from catastrophic forgetting. In the context of real-world object recognition applications (e.g., robotic vision), where continuous learning is crucial, very few datasets and benchmarks are available to evaluate and compare emerging techniques. In this work we propose a new dataset and benchmark CORe50, specifically designed for continuous object recognition, and introduce baseline approaches for different continuous learning scenarios.

Key facts. Cited by 287 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 May 2017.

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Citing papers per year: 2021: 47; 2022: 52; 2023: 60; 2024: 53; 2025: 46; 2026: 29.

287 papers.

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  1. 2023LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learningcited by 1,338
  2. 2021Learning to Prompt for Continual Learningcited by 938
  3. 2023A Comprehensive Survey of Continual Learning: Theory, Method and Applicationcited by 860
  4. 2022CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learningcited by 446
  5. 2022S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learningcited by 246
  6. 2021Online Continual Learning in Image Classification: An Empirical Surveycited by 242
  7. 2023RanPAC: Random Projections and Pre-trained Models for Continual Learningcited by 162
  8. 2022Fine-tuned Language Models are Continual Learnerscited by 152
  9. 2021Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learningcited by 130
  10. 2021Avalanche: an End-to-End Library for Continual Learningcited by 124
  11. 2021Continual World: A Robotic Benchmark For Continual Reinforcement Learningcited by 112
  12. 2022The CLEAR Benchmark: Continual LEArning on Real-World Imagerycited by 92
38 more
  1. 2023FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learningcited by 86
  2. 2022Continual Pre-Training Mitigates Forgetting in Language and Visioncited by 82
  3. 2022CLIP model is an Efficient Continual Learnercited by 64
  4. 2024MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learningcited by 63
  5. 2021Lifelong Person Re-Identification via Adaptive Knowledge Accumulationcited by 57
  6. 2021Towards unconstrained joint hand-object reconstruction from RGB videoscited by 57
  7. 2022A Closer Look at Rehearsal-Free Continual Learningcited by 54
  8. 2022Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolutioncited by 54
  9. 2022A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learningcited by 54
  10. 2023RDumb: A simple approach that questions our progress in continual test-time adaptationcited by 50
  11. 2022Online Continual Learning for Embedded Devicescited by 48
  12. 2023First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learningcited by 46
  13. 2023AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learningcited by 46
  14. 2022Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interferencecited by 44
  15. 2023Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligencecited by 43
  16. 2021Class-Incremental Learning with Generative Classifierscited by 39
  17. 2021DualNet: Continual Learning, Fast and Slowcited by 39
  18. 2023EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understandingcited by 39
  19. 2021Understanding Continual Learning Settings with Data Distribution Drift Analysiscited by 38
  20. 2023TiC-CLIP: Continual Training of CLIP Modelscited by 38
  21. 2021Distilled Replay: Overcoming Forgetting through Synthetic Samplescited by 36
  22. 2021Continual Learning of Knowledge Graph Embeddingscited by 35
  23. 2022CLAD: A realistic Continual Learning benchmark for Autonomous Drivingcited by 35
  24. 2021Continual Learning for Recurrent Neural Networks: an Empirical Evaluationcited by 34
  25. 2021Wanderlust: Online Continual Object Detection in the Real Worldcited by 34
  26. 2021Continuum: Simple Management of Complex Continual Learning Scenarioscited by 33
  27. 2022A simple but strong baseline for online continual learning: Repeated Augmented Rehearsalcited by 32
  28. 2023A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithmcited by 32
  29. 2021Continuous Coordination As a Realistic Scenario for Lifelong Learningcited by 31
  30. 2021Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffercited by 30
  31. 2022Graph Lifelong Learning: A Surveycited by 30
  32. 2021ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognitioncited by 29
  33. 2023CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservationcited by 29
  34. 2024Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learningcited by 29
  35. 2021CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparabilitycited by 28
  36. 2022Lifelong Embedding Learning and Transfer for Growing Knowledge Graphscited by 28
  37. 2023Continual Learning with Low Rank Adaptationcited by 27
  38. 2022General Incremental Learning with Domain-aware Categorical Representationscited by 26

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