🔘 Table of associated records
<meta name="Description" CONTENT="Artificial Intelligence Journal" />
<meta name="r0identifier" content="94ecd1a3b2168ef2dbb43222545d08bc" />
| Rx | Registration ID | Nº |
|---|---|---|
| R0 | Hash MD5 (of R3): | 94ecd1a3b2168ef2dbb43222545d08bc |
| R1 | Registration number (in the domain editorialia.com at WordPress): | dmeditorialiawp.31449 |
| R2 | Date-p-order (ddmmyyyypx): | 02092021p1 |
| R3 | Cid (combined id R1+R2): | dmeditorialiawp.3144902092021p1 |
| R4 | Resource official title: | YOLOX: Exceeding YOLO Series in 2021 |
| R5 | Publisher: | arXiv.org |
| R6 | Resource website (1) ( #OpenAccess | #Openscience ): | https://arxiv.org/abs/2107.08430 |
| R9 | DOI: | arXiv:2107.08430v2 [cs.CV] |
| R12 | Authors (separated by commas): | Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, Jian Sun |
| R14 | Keyword (selected 1 among the labels applied to this entry): | =automotive |
| R15 | QR code (of the linked url at WP): | |
| R16 | Time stamp URL: | |
| R17 | Digital signature URL: | Pending signature |
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