000 | 03181nam a22005895i 4500 | ||
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001 | 978-3-031-31374-5 | ||
003 | DE-He213 | ||
005 | 20240730164515.0 | ||
007 | cr nn 008mamaa | ||
008 | 230703s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031313745 _9978-3-031-31374-5 |
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024 | 7 |
_a10.1007/978-3-031-31374-5 _2doi |
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050 | 4 | _aTA1634 | |
072 | 7 |
_aUYQV _2bicssc |
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_aCOM016000 _2bisacsh |
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_aUYQV _2thema |
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082 | 0 | 4 |
_a006.37 _223 |
100 | 1 |
_aWei, Xiu-Shen. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _984870 |
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245 | 1 | 0 |
_aFine-Grained Image Analysis: Modern Approaches _h[electronic resource] / _cby Xiu-Shen Wei. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023. |
|
300 |
_aXII, 206 p. 90 illus., 86 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Computer Vision, _x2153-1064 |
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505 | 0 | _aIntroduction -- Background -- Benchmark Datasets -- Fine-Grained Image Recognition -- Fine-Grained Image Retrieval -- Resources and Future Work -- Index. | |
520 | _aThis book provides a comprehensive overview of the fine-grained image analysis research and modern approaches based on deep learning, spanning the full range of topics needed for designing operational fine-grained image systems. The author begins by providing detailed background information on FGIA, focusing on recognition and retrieval. The author also provides the fundamentals of convolutional neural networks to further make it easier for readers to understand the technical content in the book. The book introduces the main technical paradigms, technological developments, and representative approaches of fine-grained image recognition and fine-grained image retrieval. The author covers multiple popular research topics and includes cross-domain knowledge. The book also highlights advanced applications and topics for future research. . | ||
650 | 0 |
_aComputer vision. _984873 |
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650 | 0 |
_aImage processing _xDigital techniques. _94145 |
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650 | 0 |
_aImage processing. _97417 |
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650 | 0 |
_aPattern recognition systems. _93953 |
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650 | 0 |
_aMachine learning. _91831 |
|
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 1 | 4 |
_aComputer Vision. _984877 |
650 | 2 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
650 | 2 | 4 |
_aImage Processing. _97417 |
650 | 2 | 4 |
_aAutomated Pattern Recognition. _931568 |
650 | 2 | 4 |
_aMachine Learning. _91831 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
710 | 2 |
_aSpringerLink (Online service) _984880 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031313738 |
776 | 0 | 8 |
_iPrinted edition: _z9783031313752 |
776 | 0 | 8 |
_iPrinted edition: _z9783031313769 |
830 | 0 |
_aSynthesis Lectures on Computer Vision, _x2153-1064 _984881 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-31374-5 |
912 | _aZDB-2-SXSC | ||
942 | _cEBK | ||
999 |
_c85737 _d85737 |