mlsanityData to 14 Oct 2026

UC-OWOD: Unknown-Classified Open World Object Detection

arXiv 2207.11455 ↗First posted 23 Jul 2022cs.CVcited by 40

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Abstract (arXiv)

Open World Object Detection (OWOD) is a challenging computer vision problem that requires detecting unknown objects and gradually learning the identified unknown classes. However, it cannot distinguish unknown instances as multiple unknown classes. In this work, we propose a novel OWOD problem called Unknown-Classified Open World Object Detection (UC-OWOD). UC-OWOD aims to detect unknown instances and classify them into different unknown classes. Besides, we formulate the problem and devise a two-stage object detector to solve UC-OWOD. First, unknown label-aware proposal and unknown-discriminative classification head are used to detect known and unknown objects. Then, similarity-based unknown classification and unknown clustering refinement modules are constructed to distinguish multiple unknown classes. Moreover, two novel evaluation protocols are designed to evaluate unknown-class detection. Abundant experiments and visualizations prove the effectiveness of the proposed method. Code is available at https://github.com/JohnWuzh/UC-OWOD.

Key facts. Cited by 40 papers in the map (data through 14 Oct 2026). Builds on 44 of its 62 references that are in the map. First posted on arXiv 23 Jul 2022.

Builds on

44 of 62 references.

References · 44

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  3. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  4. 2017Mask R-CNNcited by 7,277
  5. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,852
  6. 2019nuScenes: A multimodal dataset for autonomous drivingcited by 4,523
  7. 2020Deformable DETR: Deformable Transformers for End-to-End Object Detectioncited by 3,422
  8. 2015Fast R-CNNcited by 2,933
  9. 2016Learning without Forgettingcited by 2,496
  10. 2019Scalability in Perception for Autonomous Driving: Waymo Open Datasetcited by 2,451
  11. 2016iCaRL: Incremental Classifier and Representation Learningcited by 2,333
  12. 2016Progressive Neural Networkscited by 1,361
32 more
  1. 2017Memory Aware Synapses: Learning what (not) to forgetcited by 1,105
  2. 2017PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruningcited by 898
  3. 2015Unsupervised Deep Embedding for Clustering Analysiscited by 767
  4. 2019Large-Scale Long-Tailed Recognition in an Open Worldcited by 705
  5. 2018Overcoming catastrophic forgetting with hard attention to the taskcited by 681
  6. 2018End-to-End Incremental Learningcited by 597
  7. 2015Towards Open Set Deep Networkscited by 538
  8. 2016Visual Relationship Detection with Language Priorscited by 334
  9. 2021Towards Open World Object Detectioncited by 297
  10. 2020Frustratingly Simple Few-Shot Object Detectioncited by 282
  11. 2014Towards Open World Recognitioncited by 226
  12. 2018Zero-Shot Object Detectioncited by 189
  13. 2018Classification-Reconstruction Learning for Open-Set Recognitioncited by 146
  14. 2021OW-DETR: Open-world Detection Transformercited by 129
  15. 2017Learning to cluster in order to transfer across domains and taskscited by 128
  16. 2013Deep Learning for Detecting Robotic Graspscited by 116
  17. 2017Dropout Sampling for Robust Object Detection in Open-Set Conditionscited by 112
  18. 2020Incremental Few-Shot Object Detectioncited by 102
  19. 2021Counterfactual Zero-Shot and Open-Set Visual Recognitioncited by 95
  20. 2020iTAML: An Incremental Task-Agnostic Meta-learning Approachcited by 90
  21. 2020Incremental Object Detection via Meta-Learningcited by 58
  22. 2019Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinementcited by 56
  23. 2018Probabilistic Object Detection: Definition and Evaluationcited by 55
  24. 2018Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detectioncited by 51
  25. 2020Meta-Consolidation for Continual Learningcited by 40
  26. 2018Open-world Learning and Application to Product Classificationcited by 39
  27. 2021Wanderlust: Online Continual Object Detection in the Real Worldcited by 34
  28. 2021Detection and Continual Learning of Novel Face Presentation Attackscited by 33
  29. 2022Revisiting Open World Object Detectioncited by 30
  30. 2021Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detectioncited by 13
  31. 2018Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videoscited by 9
  32. 2021J-Score: A Robust Measure of Clustering Accuracycited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 4; 2023: 15; 2024: 14; 2025: 3; 2026: 4.

40 papers.

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  1. 2023Towards Open Vocabulary Learning: A Surveycited by 166
  2. 2022PROB: Probabilistic Objectness for Open World Object Detectioncited by 57
  3. 2023CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detectioncited by 28
  4. 2023Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objectscited by 23
  5. 2023Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detectioncited by 15
  6. 2024Open World Object Detection: A Surveycited by 13
  7. 2024DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detectioncited by 11
  8. 2023Open World Object Detection in the Era of Foundation Modelscited by 9
  9. 2024YOLO-UniOW: Efficient Universal Open-World Object Detectioncited by 9
  10. 2022Towards Generalized Few-Shot Open-Set Object Detectioncited by 8
  11. 2023SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Drivingcited by 8
  12. 2022Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learningcited by 7
28 more
  1. 2023Unsupervised Recognition of Unknown Objects for Open-World Object Detectioncited by 6
  2. 2023USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Modelcited by 4
  3. 2023NOMAD: A Natural, Occluded, Multi-scale Aerial Dataset, for Emergency Response Scenarioscited by 4
  4. 2023SKDF: A Simple Knowledge Distillation Framework for Distilling Open-Vocabulary Knowledge to Open-world Object Detectorcited by 4
  5. 2024Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesiscited by 4
  6. 2025Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detectioncited by 4
  7. 2022Tunable Hybrid Proposal Networks for the Open Worldcited by 2
  8. 2023Addressing the Challenges of Open-World Object Detectioncited by 2
  9. 2024PANDAS: Prototype-based Novel Class Discovery and Detectioncited by 2
  10. 2024UADet: A Remarkably Simple Yet Effective Uncertainty-Aware Open-Set Object Detection Frameworkcited by 2
  11. 2023Detecting the open-world objects with the help of the Braincited by 1
  12. 2024O1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Outcited by 1
  13. 2024Open-Set Object Detection By Aligning Known Class Representationscited by 1
  14. 2026REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modelingcited by 1
  15. 2023Open-Set Object Recognition Using Mechanical Properties During Interactioncited by 0
  16. 2023Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detectorcited by 0
  17. 2023Model Evaluation for Domain Identification of Unknown Classes in Open-World Recognition: A Proposalcited by 0
  18. 2024YOLOOC: YOLO-based Open-Class Incremental Object Detection with Novel Class Discoverycited by 0
  19. 2024OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discoverycited by 0
  20. 2024Zero-shot 3D General Obstacle Detection via Multimodal Foundation Models and Geometrycited by 0
  21. 2024OW-Rep: Open World Object Detection with Instance Representation Learningcited by 0
  22. 2024On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Datacited by 0
  23. 2024Psych-Occlusion: Using Visual Psychophysics for Aerial Detection of Occluded Persons during Search and Rescuecited by 0
  24. 2025Decoupled PROB: Decoupled Query Initialization Tasks and Objectness-Class Learning for Open World Object Detectioncited by 0
  25. 2025Beyond Flat Unknown Labels in Open-World Object Detectioncited by 0
  26. 2026DualMem: Bypassing the Objectness Bottleneck for Calibrated Unknown-Stream Filtering in Open-World Object Detectioncited by 0
  27. 2026Class Geometry as Supervision for Sample-Efficient Open-World Detectioncited by 0
  28. 2026Towards Sparsely Annotated Open-World Object Detectioncited by 0