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For:
Li X
, Fang M, Feng D, Li H, Wu J.
Learning unseen visual prototypes for zero-shot classification.
Knowl Based Syst
2018;
160
:176-87. [DOI:
10.1016/j.knosys.2018.06.034
]
[
Citation(s) in
RCA
: 12
]
[
Impact Index Per Article: 1.7
]
[
Reference Citation Analysis
]
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[Indexed: 11/18/2022]
Number
Cited by Other Article(s)
1
Data Driven Recurrent Generative Adversarial Network for Generalized Zero Shot Image Classification.
Inf Sci (N Y)
2023. [DOI:
10.1016/j.ins.2023.01.039
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
[
Reference Citation Analysis
]
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]
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[Indexed: 01/09/2023]
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2
Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples.
Knowl Based Syst
2022. [DOI:
10.1016/j.knosys.2022.109218
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
[
Reference Citation Analysis
]
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[Indexed: 11/20/2022]
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3
Li X
, Fang M, Chen B. An active unseen sample selection framework for generalized zero-shot classification.
INT J MACH LEARN CYB
2022. [DOI:
10.1007/s13042-022-01509-7
]
[
Citation(s) in
RCA
: 0
]
[
Impact Index Per Article: 0
]
[
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[Indexed: 11/25/2022]
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4
Learning discriminative and representative feature with cascade GAN for generalized zero-shot learning.
Knowl Based Syst
2022. [DOI:
10.1016/j.knosys.2021.107780
]
[
Citation(s) in
RCA
: 1
]
[
Impact Index Per Article: 0.3
]
[
Reference Citation Analysis
]
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[Indexed: 11/17/2022]
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5
Learning domain invariant unseen features for generalized zero-shot classification.
Knowl Based Syst
2020. [DOI:
10.1016/j.knosys.2020.106378
]
[
Citation(s) in
RCA
: 4
]
[
Impact Index Per Article: 0.8
]
[
Reference Citation Analysis
]
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[Indexed: 11/23/2022]
Abstract
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6
Li X
, Fang M, Li H, Wu J. Zero shot learning based on class visual prototypes and semantic consistency.
Pattern Recognit Lett
2020. [DOI:
10.1016/j.patrec.2020.04.029
]
[
Citation(s) in
RCA
: 9
]
[
Impact Index Per Article: 1.8
]
[
Reference Citation Analysis
]
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[Indexed: 11/30/2022]
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7
Ji Z
, Chen K, Wang J, Yu Y, Zhang Z. Multi-modal generative adversarial network for zero-shot learning.
Knowl Based Syst
2020. [DOI:
10.1016/j.knosys.2020.105847
]
[
Citation(s) in
RCA
: 4
]
[
Impact Index Per Article: 0.8
]
[
Reference Citation Analysis
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[Indexed: 10/24/2022]
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8
Learning discriminative domain-invariant prototypes for generalized zero shot learning.
Knowl Based Syst
2020. [DOI:
10.1016/j.knosys.2020.105796
]
[
Citation(s) in
RCA
: 5
]
[
Impact Index Per Article: 1.0
]
[
Reference Citation Analysis
]
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[Indexed: 11/20/2022]
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