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  4. Vol 7, Issue 2, 2023

Research on Fine-grained Image Recognition

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DOI: 10.23977/acss.2023.070208 | Downloads: 25 | Views: 455

Author(s)

Jingyuan He 1,2, Bailong Yang 1

Affiliation(s)

1 Department of Operational Support, Xi'an Research Institute of Hi-Tech, Xi'an, Shaanxi, 710025, China
2 School of Mathematics and Computer Science, Yan'an University, Yan'an, Shaanxi, 716000, China

Corresponding Author

Bailong Yang

ABSTRACT

Fine-grained image recognition (FGIR) has developed rapidly in past decade. It has important scientific significance and application value in fields of intelligent new economy and industrial internet of things. In this paper, the challenges of FGIR, methods of FGIR and FGIR datasets are introduced. Finally, we summarized and discussed the research direction of further exploration in this field.

KEYWORDS

Fine-grained image recognition, localization-classification subnetworks, feature encoding, attention mechanism, external auxiliary information

CITE THIS PAPER

Jingyuan He, Bailong Yang. Research on Fine-grained Image Recognition. Advances in Computer, Signals and Systems (2023) Vol. 7: 58-64. DOI: http://dx.doi.org/10.23977/acss.2023.070208.

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