The 7th AI City Challenge

Abstract

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.

Cite

Text

Naphade et al. "The 7th AI City Challenge." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023. doi:10.1109/CVPRW59228.2023.00586

Markdown

[Naphade et al. "The 7th AI City Challenge." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023.](https://mlanthology.org/cvprw/2023/naphade2023cvprw-7th/) doi:10.1109/CVPRW59228.2023.00586

BibTeX

@inproceedings{naphade2023cvprw-7th,
  title     = {{The 7th AI City Challenge}},
  author    = {Naphade, Milind and Wang, Shuo and Anastasiu, David C. and Tang, Zheng and Chang, Ming-Ching and Yao, Yue and Zheng, Liang and Rahman, Mohammed Shaiqur and Arya, Meenakshi S. and Sharma, Anuj and Feng, Qi and Ablavsky, Vitaly and Sclaroff, Stan and Chakraborty, Pranamesh and Prajapati, Sanjita and Li, Alice and Li, Shangru and Kunadharaju, Krishna and Jiang, Shenxin and Chellappa, Rama},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2023},
  pages     = {5538-5548},
  doi       = {10.1109/CVPRW59228.2023.00586},
  url       = {https://mlanthology.org/cvprw/2023/naphade2023cvprw-7th/}
}