Snap inc. (20250061696). FEW-SHOT LOGO RECOGNITION SYSTEM: Difference between revisions
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==Inventor(s)== | |||
[[:Category:Kevin Sarabia Dela Rosa of Seattle WA (US)|Kevin Sarabia Dela Rosa of Seattle WA (US)]][[Category:Kevin Sarabia Dela Rosa of Seattle WA (US)]] | |||
[[:Category:Hao Hu of Bellevue WA (US)|Hao Hu of Bellevue WA (US)]][[Category:Hao Hu of Bellevue WA (US)]] | |||
[[:Category:Pengxiang Wu of Bellevue WA (US)|Pengxiang Wu of Bellevue WA (US)]][[Category:Pengxiang Wu of Bellevue WA (US)]] | |||
==FEW-SHOT LOGO RECOGNITION SYSTEM== | |||
This abstract first appeared for US patent application 20250061696 titled 'FEW-SHOT LOGO RECOGNITION SYSTEM | |||
==Original Abstract Submitted== | |||
methods and systems are disclosed for building a few-shot logo recognition system that includes accessing an image with several regions of interest and identifying several objects within the regions of interest using a logo detector neural network. for each object, the logo detector neural network indicates whether the object is a logo. the methods and systems also generate a first and second set of image feature data and a first and second ranked list of logos. a final ranked list of logos is generated based on the first and second ranked list of logos and a category associated with each logo in the final ranked list of logos is identified. | |||
[[Category:G06V10/82]] | |||
[[Category:G06V10/22]] | |||
[[Category:G06V10/764]] | |||
[[Category:CPC_G06V10/82]] | |||
Latest revision as of 04:05, 19 March 2025
FEW-SHOT LOGO RECOGNITION SYSTEM
Organization Name
Inventor(s)
Kevin Sarabia Dela Rosa of Seattle WA (US)
Pengxiang Wu of Bellevue WA (US)
FEW-SHOT LOGO RECOGNITION SYSTEM
This abstract first appeared for US patent application 20250061696 titled 'FEW-SHOT LOGO RECOGNITION SYSTEM
Original Abstract Submitted
methods and systems are disclosed for building a few-shot logo recognition system that includes accessing an image with several regions of interest and identifying several objects within the regions of interest using a logo detector neural network. for each object, the logo detector neural network indicates whether the object is a logo. the methods and systems also generate a first and second set of image feature data and a first and second ranked list of logos. a final ranked list of logos is generated based on the first and second ranked list of logos and a category associated with each logo in the final ranked list of logos is identified.
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