(a) The network structure of BiFPN; (b) The BiFPN network structure used in this paper.
<p>(a) The network structure of BiFPN; (b) The BiFPN network structure used in this paper.</p>
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2025
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| _version_ | 1852021197172113408 |
|---|---|
| author | Shiwei Yu (6060308) |
| author2 | Feng Pan (257056) Xiaoqiang Zhang (2413909) Linhua Zhou (6430619) Liang Zhang (41392) Jikui Wang (4519225) |
| author2_role | author author author author author |
| author_facet | Shiwei Yu (6060308) Feng Pan (257056) Xiaoqiang Zhang (2413909) Linhua Zhou (6430619) Liang Zhang (41392) Jikui Wang (4519225) |
| author_role | author |
| dc.creator.none.fl_str_mv | Shiwei Yu (6060308) Feng Pan (257056) Xiaoqiang Zhang (2413909) Linhua Zhou (6430619) Liang Zhang (41392) Jikui Wang (4519225) |
| dc.date.none.fl_str_mv | 2025-04-18T17:25:49Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0320344.g006 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/_a_The_network_structure_of_BiFPN_b_The_BiFPN_network_structure_used_in_this_paper_/28825337 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> aiming simple defect types pcb defect detection lightweight detection algorithm depthwise separable convolution redundant parameters within model &# 8217 yolo </ p panet network structure ordinary convolution model lightweight scale features results indicated parameter count paper proposes original model large numbers large computation defective images confusion caused cluttered background c3str module c3 module better suited arithmetic platforms |
| dc.title.none.fl_str_mv | (a) The network structure of BiFPN; (b) The BiFPN network structure used in this paper. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>(a) The network structure of BiFPN; (b) The BiFPN network structure used in this paper.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_eb8d4eef2bde985cbf78af0402e8eb15 |
| identifier_str_mv | 10.1371/journal.pone.0320344.g006 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28825337 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | (a) The network structure of BiFPN; (b) The BiFPN network structure used in this paper.Shiwei Yu (6060308)Feng Pan (257056)Xiaoqiang Zhang (2413909)Linhua Zhou (6430619)Liang Zhang (41392)Jikui Wang (4519225)Space ScienceEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedxlink "> aimingsimple defect typespcb defect detectionlightweight detection algorithmdepthwise separable convolutionredundant parameters withinmodel &# 8217yolo </ ppanet network structureordinary convolutionmodel lightweightscale featuresresults indicatedparameter countpaper proposesoriginal modellarge numberslarge computationdefective imagesconfusion causedcluttered backgroundc3str modulec3 modulebetter suitedarithmetic platforms<p>(a) The network structure of BiFPN; (b) The BiFPN network structure used in this paper.</p>2025-04-18T17:25:49ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0320344.g006https://figshare.com/articles/figure/_a_The_network_structure_of_BiFPN_b_The_BiFPN_network_structure_used_in_this_paper_/28825337CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/288253372025-04-18T17:25:49Z |
| spellingShingle | (a) The network structure of BiFPN; (b) The BiFPN network structure used in this paper. Shiwei Yu (6060308) Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> aiming simple defect types pcb defect detection lightweight detection algorithm depthwise separable convolution redundant parameters within model &# 8217 yolo </ p panet network structure ordinary convolution model lightweight scale features results indicated parameter count paper proposes original model large numbers large computation defective images confusion caused cluttered background c3str module c3 module better suited arithmetic platforms |
| status_str | publishedVersion |
| title | (a) The network structure of BiFPN; (b) The BiFPN network structure used in this paper. |
| title_full | (a) The network structure of BiFPN; (b) The BiFPN network structure used in this paper. |
| title_fullStr | (a) The network structure of BiFPN; (b) The BiFPN network structure used in this paper. |
| title_full_unstemmed | (a) The network structure of BiFPN; (b) The BiFPN network structure used in this paper. |
| title_short | (a) The network structure of BiFPN; (b) The BiFPN network structure used in this paper. |
| title_sort | (a) The network structure of BiFPN; (b) The BiFPN network structure used in this paper. |
| topic | Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> aiming simple defect types pcb defect detection lightweight detection algorithm depthwise separable convolution redundant parameters within model &# 8217 yolo </ p panet network structure ordinary convolution model lightweight scale features results indicated parameter count paper proposes original model large numbers large computation defective images confusion caused cluttered background c3str module c3 module better suited arithmetic platforms |