YOLOX: Exceeding YOLO Series in 2021


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<meta name="Description" CONTENT="Artificial Intelligence Journal" />
<meta name="r0identifier" content="94ecd1a3b2168ef2dbb43222545d08bc" />
RxRegistration ID
R0Hash MD5 (of R3):94ecd1a3b2168ef2dbb43222545d08bc
R1Registration number (in the domain editorialia.com at WordPress):dmeditorialiawp.31449
R2Date-p-order (ddmmyyyypx): 02092021p1
R3Cid (combined id R1+R2):dmeditorialiawp.3144902092021p1
R4Resource official title:YOLOX: Exceeding YOLO Series in 2021
R5Publisher:arXiv.org
R6Resource website (1) ( #OpenAccess | #Openscience ): https://arxiv.org/abs/2107.08430
R9DOI:arXiv:2107.08430v2 [cs.CV]
R12Authors (separated by commas):Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, Jian Sun
R14Keyword (selected 1 among the labels applied to this entry):=automotive
R15QR code (of the linked url at WP):
R16Time stamp URL:
R17Digital signature URL:Pending signature
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