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Weakly Supervised Pedestrian Attribute Recognition and Attribute Localization Arhitecture Based on CNN : a Dissertation Report

By: Sharma, Awadhesh. (2016peb5081)Contributor(s): Agrawal, Sanjeev [supvr]Material type: Text

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TextPublication details: Jaipur : Deptt. of Electronics and Communication Engineering, Malaviya National Institute of Technology, 2018. Description: xi,50p. 01 CDSubject(s): Electronics and Communication Engineering | Embedded System Engineering | Pedestrian Attribute Recognition | WSPAL- ArchitectureDDC classification: 621.382

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Item type	Current library	Call number	Status	Date due	Barcode
Dissertations	Malaviya National Institute of Technology Reference	621.382 SHA (Browse shelf(Opens below))	Available		PEB030

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Previous	621.382 SHA Broadband access networks :	621.382 SHA WIRELESS SENSOR NETWORKS	621.382 SHA performance analysis of OFDM in rural and urban :	621.382 SHA Weakly Supervised Pedestrian Attribute Recognition and Attribute Localization Arhitecture Based on CNN :	621.382 SHR Age Group Estimation Using Facial Landmark Points :	621.382 SIN Enhance security of data encryption-key dependent advance encryption standard :	621.382 SIN Hardware Accelerated Implementation of ECG Based Security Solution on Zynq SoC :	Next

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