Traffic Sign Detection

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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

7 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.

Most implemented papers archive 2025-07-28

16 shown of 16 papers with code (56 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.

• Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks
  11 May 2018 3 repositories listed
  Convolutional neural networks are the most widely used deep learning algorithms for traffic signal classification till date but they fail to capture pose, view, orientation of the images because of the intrinsic…
• Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics
  29 Aug 2019 2 repositories listed
  We investigate the effect of challenging conditions through spectral analysis and show that challenging conditions can lead to distinct magnitude spectrum characteristics.
• Model Agnostic Defence against Backdoor Attacks in Machine Learning
  6 Aug 2019 2 repositories listed
  In this work, we present NEO, a model agnostic framework to detect and mitigate such backdoor attacks in image classification ML models.
• Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions
  19 Feb 2019 2 repositories listed
  Experimental results show that benchmarked algorithms are highly sensitive to tested challenging conditions, which result in an average performance drop of 0.
• A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection
  20 Jun 2018 2 repositories listed
  The root cause of this issue is that no public dataset contains both traffic light and sign labels, which leads to difficulties in developing a joint detection framework.
• YOLO-CCA: A Context-Based Approach for Traffic Sign Detection
  5 Dec 2024 1 repository listed
  Due to the complexity of driving environments, traffic sign detection frequently encounters a range of challenges, including low resolution, limited feature information, and small object sizes.
• Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving
  19 Sep 2024 1 repository listed
  3D detection of traffic management objects, such as traffic lights and road signs, is vital for self-driving cars, particularly for address-to-address navigation where vehicles encounter numerous intersections with…
• Learning to Defer to a Population: A Meta-Learning Approach
  5 Mar 2024 1 repository listed Syntology ran 7 of 9 samples · 2 unverified
  The learning to defer (L2D) framework allows autonomous systems to be safe and robust by allocating difficult decisions to a human expert.
• CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme Conditions
  13 Sep 2023 1 repository listed
  Traffic sign detection is an important research direction in intelligent driving.
• GLARE: A Dataset for Traffic Sign Detection in Sun Glare
  19 Sep 2022 1 repository listed
  It provides an essential enrichment to the widely used LISA Traffic Sign dataset.
• Improved YOLOv5 network for real-time multi-scale traffic sign detection
  16 Dec 2021 1 repository listed
  Moreover, in practical application, it is difficult for common methods to improve the detection accuracy of multi-scale traffic signs while ensuring real-time detection.
• A real-time and high-precision method for small traffic-signs recognition
  25 Sep 2021 1 repository listed
  However, in real applications, small traffic-signs recognition is still challenging.
• Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images
  23 Jul 2019 1 repository listed
  Deep learning has been successfully applied to several problems related to autonomous driving.
• Deep Learning for Large-Scale Traffic-Sign Detection and Recognition
  1 Apr 2019 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  Automatic detection and recognition of traffic signs plays a crucial role in management of the traffic-sign inventory.
• Evaluation of deep neural networks for traffic sign detection systems
  17 Nov 2018 1 repository listed
  Traffic sign detection systems constitute a key component in trending real-world applications, such as autonomous driving, and driver safety and assistance.
• Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions]
  15 Oct 2018 1 repository listed
  Robust and reliable traffic sign detection is necessary to bring autonomous vehicles onto our roads.

Syntology lines on 2 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.