The 7th AI City Challenge
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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
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- 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
- 2019Deep High-Resolution Representation Learning for Human Pose Estimationcited by 1,339
- 2022VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Trainingcited by 1,305
- 2017Simple Online and Realtime Tracking with a Deep Association Metriccited by 908
- 2016Simple Online and Realtime Trackingcited by 862
- 2016Performance Measures and a Data Set for Multi-Target, Multi-Camera Trackingcited by 685
- 2021MViTv2: Improved Multiscale Vision Transformers for Classification and Detectioncited by 516
- 2019BMN: Boundary-Matching Network for Temporal Action Proposal Generationcited by 327
- 2022BoT-SORT: Robust Associations Multi-Pedestrian Trackingcited by 313
- 2022ActionFormer: Localizing Moments of Actions with Transformerscited by 308
17 more
- 2019Omni-Scale Feature Learning for Person Re-Identificationcited by 292
- 2022StrongSORT: Make DeepSORT Great Againcited by 213
- 2019CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identificationcited by 119
- 2020Unsupervised Pre-training for Person Re-identificationcited by 94
- 2020Revisiting Anchor Mechanisms for Temporal Action Localizationcited by 75
- 2021Self-Supervised Pre-Training for Transformer-Based Person Re-Identificationcited by 36
- 2022NMS Strikes Backcited by 33
- 2021The 5th AI City Challengecited by 28
- 2021CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptionscited by 26
- 2022The 6th AI City Challengecited by 23
- 2023Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognitioncited by 19
- 2020The 4th AI City Challengecited by 18
- 2022Synthetic Distracted Driving (SynDD2) dataset for analyzing distracted behaviors and various gaze zones of a drivercited by 15
- 2023Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8cited by 13
- 2022Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyondcited by 9
- 2023DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videoscited by 6
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Citing papers per year: 2023: 7; 2024: 6; 2025: 3; 2026: 4.
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- 2023Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challengescited by 39
- 2024The 8th AI City Challengecited by 15
- 2023Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenescited by 12
- 2023Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignmentcited by 9
- 2024MCTR: Multi Camera Tracking Transformercited by 8
- 2026The 10th AI City Challengecited by 7
- 2023M2DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformercited by 5
- 2023TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarioscited by 4
- 2024Evaluating Vision-Language Models for Zero-Shot Detection, Classification, and Association of Motorcycles, Passengers, and Helmetscited by 4
- 2024Driver Activity Classification Using Generalizable Representations from Vision-Language Modelscited by 3
- 2025ATARS: An Aerial Traffic Atomic Activity Recognition and Temporal Segmentation Datasetcited by 2
- 2023VQPy: An Object-Oriented Approach to Modern Video Analyticscited by 1
8 more
- 2023VegaEdge: Edge AI Confluence Anomaly Detection for Real-Time Highway IoT-Applicationscited by 1
- 2024Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognitioncited by 1
- 2025YOWO: You Only Walk Once to Jointly Map An Indoor Scene and Register Ceiling-mounted Camerascited by 1
- 2024Co-Learning: Towards Semi-Supervised Object Detection with Road-side Camerascited by 0
- 2025VisionGuard: Synergistic Framework for Helmet Violation Detectioncited by 0
- 2026Fully Distributed Multi-View 3D Tracking in Real-Timecited by 0
- 2026Geometry Beats Estimated Depth: RGB-Only Multi-Camera 3D Tracking under Sim2Realcited by 0
- 2026Action-Slot: Structured Action-Centric Representation Learning for Multi-Agent Atomic Activity Understandingcited by 0
- 2026Action-Slot: Structured Action-Centric Representation Learning for Multi-Agent Atomic Activity Understanding21 Sep 2026
- 2026The 10th AI City Challenge17 Aug 2026
- 2026Geometry Beats Estimated Depth: RGB-Only Multi-Camera 3D Tracking under Sim2Real4 Aug 2026
- 2026Fully Distributed Multi-View 3D Tracking in Real-Time11 Jun 2026
- 2025YOWO: You Only Walk Once to Jointly Map An Indoor Scene and Register Ceiling-mounted Cameras20 Nov 2025
- 2025VisionGuard: Synergistic Framework for Helmet Violation Detection26 Jun 2025
- 2025ATARS: An Aerial Traffic Atomic Activity Recognition and Temporal Segmentation Dataset24 Mar 2025
- 2024Co-Learning: Towards Semi-Supervised Object Detection with Road-side Cameras28 Nov 2024
- 2024MCTR: Multi Camera Tracking Transformer23 Aug 2024
- 2024Evaluating Vision-Language Models for Zero-Shot Detection, Classification, and Association of Motorcycles, Passengers, and Helmets5 Aug 2024
- 2024Driver Activity Classification Using Generalizable Representations from Vision-Language Models23 Apr 2024
- 2024The 8th AI City Challenge15 Apr 2024
8 more
- 2024Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition11 Mar 2024
- 2023TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios30 Nov 2023
- 2023Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes29 Nov 2023
- 2023VegaEdge: Edge AI Confluence Anomaly Detection for Real-Time Highway IoT-Applications14 Nov 2023
- 2023VQPy: An Object-Oriented Approach to Modern Video Analytics3 Nov 2023
- 2023Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges21 Aug 2023
- 2023M2DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer13 May 2023
- 2023Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment19 Apr 2023
- 2023Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challengescited by 39
- 2024The 8th AI City Challengecited by 15
- 2023Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenescited by 12
- 2023Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignmentcited by 9
- 2024MCTR: Multi Camera Tracking Transformercited by 8
- 2026The 10th AI City Challengecited by 7
- 2023M2DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformercited by 5
- 2023TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarioscited by 4
- 2025ATARS: An Aerial Traffic Atomic Activity Recognition and Temporal Segmentation Datasetcited by 2
- 2023VQPy: An Object-Oriented Approach to Modern Video Analyticscited by 1
- 2023VegaEdge: Edge AI Confluence Anomaly Detection for Real-Time Highway IoT-Applicationscited by 1
- 2024Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognitioncited by 1
12 most cited of 18 All 18 (JSON)
- 2026Action-Slot: Structured Action-Centric Representation Learning for Multi-Agent Atomic Activity Understanding21 Sep 2026
- 2026The 10th AI City Challenge17 Aug 2026
- 2026Geometry Beats Estimated Depth: RGB-Only Multi-Camera 3D Tracking under Sim2Real4 Aug 2026
- 2026Fully Distributed Multi-View 3D Tracking in Real-Time11 Jun 2026
- 2025YOWO: You Only Walk Once to Jointly Map An Indoor Scene and Register Ceiling-mounted Cameras20 Nov 2025
- 2025VisionGuard: Synergistic Framework for Helmet Violation Detection26 Jun 2025
- 2025ATARS: An Aerial Traffic Atomic Activity Recognition and Temporal Segmentation Dataset24 Mar 2025
- 2024Co-Learning: Towards Semi-Supervised Object Detection with Road-side Cameras28 Nov 2024
- 2024MCTR: Multi Camera Tracking Transformer23 Aug 2024
- 2024The 8th AI City Challenge15 Apr 2024
- 2024Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition11 Mar 2024
- 2023TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios30 Nov 2023
12 newest of 18 All 18 (JSON)