mlsanityData to 7 Oct 2026

The 7th AI City Challenge

arXiv 2304.07500 ↗First posted 15 Apr 2023cs.CVcited by 20

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Abstract (arXiv)

The AI City Challenge's seventh edition emphasizes two domains at the intersection of computer vision and artificial intelligence - retail business and Intelligent Traffic Systems (ITS) - that have considerable untapped potential. The 2023 challenge had five tracks, which drew a record-breaking number of participation requests from 508 teams across 46 countries. Track 1 was a brand new track that focused on multi-target multi-camera (MTMC) people tracking, where teams trained and evaluated using both real and highly realistic synthetic data. Track 2 centered around natural-language-based vehicle track retrieval. Track 3 required teams to classify driver actions in naturalistic driving analysis. Track 4 aimed to develop an automated checkout system for retail stores using a single view camera. Track 5, another new addition, tasked teams with detecting violations of the helmet rule for motorcyclists. Two leader boards were released for submissions based on different methods: a public leader board for the contest where external private data wasn't allowed and a general leader board for all results submitted. The participating teams' top performances established strong baselines and even outperformed the state-of-the-art in the proposed challenge tracks.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). Builds on 29 of its 71 references that are in the map. First posted on arXiv 15 Apr 2023.

Builds on

29 of 71 references.

References · 29

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  3. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  4. 2019Deep High-Resolution Representation Learning for Human Pose Estimationcited by 1,339
  5. 2022VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Trainingcited by 1,305
  6. 2017Simple Online and Realtime Tracking with a Deep Association Metriccited by 908
  7. 2016Simple Online and Realtime Trackingcited by 862
  8. 2016Performance Measures and a Data Set for Multi-Target, Multi-Camera Trackingcited by 685
  9. 2021MViTv2: Improved Multiscale Vision Transformers for Classification and Detectioncited by 516
  10. 2019BMN: Boundary-Matching Network for Temporal Action Proposal Generationcited by 327
  11. 2022BoT-SORT: Robust Associations Multi-Pedestrian Trackingcited by 313
  12. 2022ActionFormer: Localizing Moments of Actions with Transformerscited by 308
17 more
  1. 2019Omni-Scale Feature Learning for Person Re-Identificationcited by 292
  2. 2022StrongSORT: Make DeepSORT Great Againcited by 213
  3. 2019CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identificationcited by 119
  4. 2020Unsupervised Pre-training for Person Re-identificationcited by 94
  5. 2020Revisiting Anchor Mechanisms for Temporal Action Localizationcited by 75
  6. 2021Self-Supervised Pre-Training for Transformer-Based Person Re-Identificationcited by 36
  7. 2022NMS Strikes Backcited by 33
  8. 2021The 5th AI City Challengecited by 28
  9. 2021CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptionscited by 26
  10. 2022The 6th AI City Challengecited by 23
  11. 2023Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognitioncited by 19
  12. 2020The 4th AI City Challengecited by 18
  13. 2022Synthetic Distracted Driving (SynDD2) dataset for analyzing distracted behaviors and various gaze zones of a drivercited by 15
  14. 2023Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8cited by 13
  15. 2022Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyondcited by 9
  16. 2023DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videoscited by 6
  17. 2023Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Reviewcited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 7; 2024: 6; 2025: 3; 2026: 4.

20 papers.

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  1. 2023Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challengescited by 39
  2. 2024The 8th AI City Challengecited by 15
  3. 2023Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenescited by 12
  4. 2023Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignmentcited by 9
  5. 2024MCTR: Multi Camera Tracking Transformercited by 8
  6. 2026The 10th AI City Challengecited by 7
  7. 2023M2DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformercited by 5
  8. 2023TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarioscited by 4
  9. 2024Evaluating Vision-Language Models for Zero-Shot Detection, Classification, and Association of Motorcycles, Passengers, and Helmetscited by 4
  10. 2024Driver Activity Classification Using Generalizable Representations from Vision-Language Modelscited by 3
  11. 2025ATARS: An Aerial Traffic Atomic Activity Recognition and Temporal Segmentation Datasetcited by 2
  12. 2023VQPy: An Object-Oriented Approach to Modern Video Analyticscited by 1
8 more
  1. 2023VegaEdge: Edge AI Confluence Anomaly Detection for Real-Time Highway IoT-Applicationscited by 1
  2. 2024Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognitioncited by 1
  3. 2025YOWO: You Only Walk Once to Jointly Map An Indoor Scene and Register Ceiling-mounted Camerascited by 1
  4. 2024Co-Learning: Towards Semi-Supervised Object Detection with Road-side Camerascited by 0
  5. 2025VisionGuard: Synergistic Framework for Helmet Violation Detectioncited by 0
  6. 2026Fully Distributed Multi-View 3D Tracking in Real-Timecited by 0
  7. 2026Geometry Beats Estimated Depth: RGB-Only Multi-Camera 3D Tracking under Sim2Realcited by 0
  8. 2026Action-Slot: Structured Action-Centric Representation Learning for Multi-Agent Atomic Activity Understandingcited by 0