Open World Object Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

7 leaderboard tables shown for this task, 7 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 30 papers with code (50 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Learning Open-World Object Proposals without Learning to Classify
  15 Aug 2021 6 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  In this paper, we identify that the problem is that the binary classifiers in existing proposal methods tend to overfit to the training categories.
• Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection
  25 Jun 2023 2 repositories listed
  We argue that this contextual information should already be embedded within the known classes.
• OW-DETR: Open-world Detection Transformer
  2 Dec 2021 2 repositories listed
  In the case of incremental object detection, OW-DETR outperforms the state-of-the-art for all settings on PASCAL VOC.
• Towards Open World Object Detection
  3 Mar 2021 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Humans have a natural instinct to identify unknown object instances in their environments.
• OW-OVD: Unified Open World and Open Vocabulary Object Detection
  1 Jan 2025 1 repository listed
  To achieve this, we start with a standard OVD detector and adapt it for OWOD tasks.
• YOLO-UniOW: Efficient Universal Open-World Object Detection
  30 Dec 2024 1 repository listed
  In this work, we introduce Universal Open-World Object Detection (Uni-OWD), a new paradigm that unifies open-vocabulary and open-world object detection tasks.
• From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects
  27 Nov 2024 1 repository listed
  To address theses limitations, we propose a framework that enables OVD models to operate in open world settings, by identifying and incrementally learning novel objects.
• OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
  26 Nov 2024 1 repository listed
  Moreover, we propose a vision-centric 3D open-world object detection baseline and further introduce an ensemble method by fusing general and specialized models to address the issue of lower precision in existing…
• DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding
  21 Nov 2024 1 repository listed
  DINO-X employs the same Transformer-based encoder-decoder architecture as Grounding DINO 1.
• Open World Object Detection: A Survey
  15 Oct 2024 1 repository listed
  Exploring new knowledge is a fundamental human ability that can be mirrored in the development of deep neural networks, especially in the field of object detection.
• SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detection
  8 Oct 2024 1 repository listed
  To mitigate the inaccurate region classification in OVD, we propose a new Shape-Invariant Adapter named SIA-OVD to bridge the image-region gap in the OVD task.
• Detecting Every Object from Events
  8 Apr 2024 1 repository listed
  Object detection is critical in autonomous driving, and it is more practical yet challenging to localize objects of unknown categories: an endeavour known as Class-Agnostic Object Detection (CAOD).
• VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation
  19 Mar 2024 1 repository listed
  This paper explores the potential of Large Language Models(LLMs) in zero-shot anomaly detection for safe visual navigation.
• Semi-supervised Open-World Object Detection
  25 Feb 2024 1 repository listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  We demonstrate the effectiveness of our SS-OWOD problem setting and approach for remote sensing object detection, proposing carefully curated splits and baseline performance evaluations.
• Exploring Orthogonality in Open World Object Detection
  1 Jan 2024 1 repository listed
  To address this problem we exploit three levels of orthogonality in the detection process: First the objectness and classification heads are disentangled by operating on separate sets of features that are orthogonal to…
• SKDF: A Simple Knowledge Distillation Framework for Distilling Open-Vocabulary Knowledge to Open-world Object Detector
  14 Dec 2023 1 repository listed
  Ablation experiments demonstrate that both of them are effective in mitigating the impact of open-world knowledge distillation on the learning of known objects.
• Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector
  4 Nov 2023 1 repository listed
  This is because the predictor is inevitably biased to the known categories, and fails under the shift in the appearance of the unseen categories.
• Recognize Any Regions
  2 Nov 2023 1 repository listed Syntology ran 4 of 11 samples · 7 unverified · 11 pointer-only (licence)
  Building on the success of powerful image-level vision-language (ViL) foundation models like CLIP, recent efforts have sought to harness their capabilities by either training a contrastive model from scratch with an…
• Unsupervised Recognition of Unknown Objects for Open-World Object Detection
  31 Aug 2023 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Open-World Object Detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown objects and incrementally…
• Random Boxes Are Open-world Object Detectors
  17 Jul 2023 1 repository listed Syntology ran 12 of 16 samples · 4 unverified · 16 pointer-only (licence)
  First, as the randomization is independent of the distribution of the limited known objects, the random proposals become the instrumental variable that prevents the training from being confounded by the known objects.
• Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects
  24 Mar 2023 1 repository listed Syntology ran 4 of 4 samples · 0 unverified
  The recently proposed open-world object and open-set detection have achieved a breakthrough in finding never-seen-before objects and distinguishing them from known ones.
• Detecting Everything in the Open World: Towards Universal Object Detection
  21 Mar 2023 1 repository listed Syntology ran 1 of 3 samples · 2 unverified
  In this paper, we formally address universal object detection, which aims to detect every scene and predict every category.
• Detecting the open-world objects with the help of the Brain
  21 Mar 2023 1 repository listed
  We propose leveraging the VL as the ``Brain'' of the open-world detector by simply generating unknown labels.
• Annealing-Based Label-Transfer Learning for Open World Object Detection
  1 Jan 2023 1 repository listed
  To the best of our knowledge, this is the first OWOD work without manual unknown selection.
• GOOD: Exploring Geometric Cues for Detecting Objects in an Open World
  22 Dec 2022 1 repository listed
  We address the task of open-world class-agnostic object detection, i.
• PROB: Probabilistic Objectness for Open World Object Detection
  2 Dec 2022 1 repository listed
  The resulting Probabilistic Objectness transformer-based open-world detector, PROB, integrates our framework into traditional object detection models, adapting them for the open-world setting.
• UC-OWOD: Unknown-Classified Open World Object Detection
  23 Jul 2022 1 repository listed
  In this work, we propose a novel OWOD problem called Unknown-Classified Open World Object Detection (UC-OWOD).
• Localized Vision-Language Matching for Open-vocabulary Object Detection
  12 May 2022 1 repository listed
  In this work, we propose an open-vocabulary object detection method that, based on image-caption pairs, learns to detect novel object classes along with a given set of known classes.
• Revisiting Open World Object Detection
  3 Jan 2022 1 repository listed Syntology ran 2 of 4 samples · 2 unverified
  Open World Object Detection (OWOD), simulating the real dynamic world where knowledge grows continuously, attempts to detect both known and unknown classes and incrementally learn the identified unknown ones.
• Class-agnostic Object Detection with Multi-modal Transformer
  22 Nov 2021 1 repository listed
  This has been a long-standing question in computer vision.

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.