z-logo
open-access-imgOpen Access
Adaptive Pattern-Parameter Matching for Robust Pedestrian Detection
Author(s) -
Mengyin Liu,
Chao Zhu,
Jun Wang,
Xu-Cheng Yin
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i3.16313
Subject(s) - computer science , robustness (evolution) , pedestrian detection , detector , pedestrian , key (lock) , matching (statistics) , obstacle , spurious relationship , artificial intelligence , pattern recognition (psychology) , scale (ratio) , algorithm , machine learning , mathematics , statistics , engineering , telecommunications , biochemistry , chemistry , computer security , physics , quantum mechanics , transport engineering , law , political science , gene

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom