| zhengthomastang/2018AICity_TeamUW |
260 |
|
0 |
0 |
almost 6 years ago |
0 |
|
14 |
|
C |
| The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation |
| songtaohe/Sat2Graph |
112 |
|
0 |
0 |
about 3 years ago |
0 |
|
11 |
mit |
OpenEdge ABL |
| Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding |
| cw1204772/AIC2018_iamai |
110 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
|
Python |
| A multi-camera vehicle detection, tracking and re-identification system |
| drivendataorg/open-cities-ai-challenge |
110 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
mit |
Jupyter Notebook |
| Winners of the Open Cities AI Challenge competition |
| NVIDIAAICITYCHALLENGE/2019AICITY_Code_From_Top_Teams |
107 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
|
|
| The code from the top teams in the 2019 AI City Challenge |
| heshuting555/AICITY2020_DMT_VehicleReID |
52 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
mit |
Python |
| The 3rd Place Submission to AICity Challenge 2020 Track2 |
| hou-yz/DeepCC-local |
33 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
MATLAB |
| DeepCC tracker with local-aware settings |
| pvigier/Simulopolis |
33 |
|
0 |
0 |
almost 6 years ago |
0 |
|
2 |
gpl-3.0 |
C++ |
| A sandbox city building game with pcg and ai |
| ShuaiBai623/AI-City-Anomaly-Detection |
23 |
|
0 |
0 |
almost 7 years ago |
0 |
|
6 |
|
Python |
| Source code and code description of Team12 for NVIDIA AICity Challenge 2019 track 3 |
| KevinQian97/ELECTRICITY-MTMC |
17 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
other |
Python |
| ELECTRICITY: An Efficient Multi-camera Vehicle Tracking System for Intelligent City(CVPR 2020 AI City Challenge Track 3) |
