ConFERNet: a low trainable parameters based novel light-weight convolutive feature extraction recurrent network for high accuracy suspect identification

Shree, Manu; Mohapatra, Amar Kumar; Suwanwiwat, Art; Vishwakarma, Virendra P; Lee, Ickjai

ConFERNet: a low trainable parameters based novel light-weight convolutive feature extraction recurrent network for high accuracy suspect identification

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posted on 2025-03-24, 05:05 authored by Manu Shree, Amar Kumar Mohapatra, Art SuwanwiwatArt Suwanwiwat, Virendra P Vishwakarma, Ickjai Lee

ConFERNet: a low trainable parameters based novel light-weight convolutive feature extraction recurrent network for high accuracy suspect identification

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DOI - Is version of https://doi.org/10.1007/s11760-024-03603-5

Location

Berlin, Germany

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No

Language

eng

Journal

Signal, Image and Video Processing

Volume

19

Article number

153

Pagination

1-18

ISSN

1863-1703

eISSN

1863-1711

Issue

2

Publisher

Springer

Publication URL

https://doi.org/10.1007/s11760-024-03603-5

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ConFERNet: a low trainable parameters based novel light-weight convolutive feature extraction recurrent network for high accuracy suspect identification

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