Abstract | ||
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In object counting, objects often exhibit different sizes at different scales, even if they have similar physical sizes in reality. This is particularly true when targeting crowd counting and vehicle counting in intelligent transportation. Failing to model such variations leads to the mismatch between the object size and image scale. To address this problem, existing methods often extract multi-sc... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/TITS.2020.3030781 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | DocType | Volume |
Feature extraction,Transportation,Estimation,Fuses,Monitoring,Task analysis | Journal | 23 |
Issue | ISSN | Citations |
4 | 1524-9050 | 0 |
PageRank | References | Authors |
0.34 | 34 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Liang Liu | 1 | 163 | 40.93 |
Zhiguo Cao | 2 | 314 | 44.17 |
Hao Lu | 3 | 140 | 20.86 |
Haipeng Xiong | 4 | 0 | 0.34 |
Chunhua Shen | 5 | 4817 | 234.19 |