2021AICITY_Code_From_Top_Teams2021AICITY_Code_From_Top_TeamsPublic The code from the top teams in the 2021 AI City Challenge (not in any particular order) 10811 2019AICITY_Code_From_Top_Teams2019AICITY_Code_From_Top_TeamsPublic The code from the top teams in the 2019 AI City Challenge...
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This repository contains the solution proposed by the SmartVision team from VNPT AI to tackle the problem stated in the AI City Challenge 2024 - Track 4: "Road Object Detection in Fish-Eye Cameras". For reproduction, please follow the Instructions below. Instructions: Installation Install the fol...
The format of inference should be similar with the A2 dataset, which is provided by 2022 AI City Challenge. The format of A2 dataset as follows: A2 user_id_* CAMERAVIEW_user_id_*.MP4 CAMERAVIEW_user_id_*.MP4 CAMERAVIEW_user_id_*.MP4 ... video_ids.csv The checkpoints after train...
Open Cities AI Challenge: Segmenting Buildings for Disaster Resilience Goal of the Competition As urban populations grow, more people are exposed to the benefits and hazards of city life. One challenge for cities is managing the risk of disasters in a constantly changing built environment. Buildings...
classification data py-faster-rcnn smilarity README.md extract_background.py whole_system_new.png Unsupervised Anomaly Detection for Traffic Surveillance Based on Background Modeling This work participates in Nvidia AI City Challenge CVPR 2018 Workshop. ...
README 2020AICITY_Code_From_Top_Teams The code from the top teams in the 2020 AI City Challenge (not in any particular order) Track 1: Multi-Class Multi-Movement Vehicle Counting Baidu ENGIE CMU-UTS DiDi1(Private) HCMUS DCU DiDi2 ...
CityAI Baseline Doc 赛题简介 大赛以“地铁乘客流量预测”为赛题,参赛者可通过分析地铁站的历史刷卡数据,预测站点未来的客流量变化,帮助实现更合理的出行路线选择,规避交通堵塞,提前部署站点安保措施等,最终实现用大数据和人工智能等技术助力未来城市安全出行。 大赛开放了20190101至20190125共25天地铁刷卡数据记录,共涉...
In this repo, we include the 1st Place submission toAICity Challenge2020 re-id track (Baidu-UTS submission) [Paper][Video] We fuse the models trained on Paddlepaddle and Pytorch. To illustrate them, we provide the two training parts seperatively as following. ...
:fire: The runner-up solution of AICITY Challenge Track2 (Vehicle Re-Identification) at CVPR 2021 Workshop. - Xuanmeng-Zhang/AICITY2021-Track2