Cascade saccade machine learning network with hierarchical classes for traffic sign detection
Bibliographic Data
| ID | 21229634 |
|---|---|
| Authors | Zhanwen Liu (0000-0001-7511-2910, Chang'an University), Mingyuan Qi (Chang'an University), Chao Shen (0000-0002-1251-5509, Chang'an University), Yong Fang (0000-0001-8310-5673, Chang'an University), Xiangmo Zhao (0000-0002-0116-5988, Chang'an University, corresponding author) |
| Year | 2021 |
| Volume | 67 |
| Pages | 102700 |
| Publication date | 2021-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2020.102700 |
| OpenAlex | W3121101473 |
| Language | EN |
| Citations received | 1 |
| References cited | 28 |
Cascade · Computer vision · Eye movement · Precision and recall · Real-time computing · Saccade · Traffic sign · Traffic sign recognition · Advanced Neural Network Applications · Computer Science · Engineering · Vehicle License Plate Recognition · Video Surveillance and Tracking Methods · Artificial Intelligence
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| Unique citing works | 1 |
|---|---|
| Citations per year | 0.2 |
| Citation span | 2021 - 2021 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |