67d562354a90b2c9dc735ab5df9af55f pmc_10338521.pdf 7a18b8f6da8adf70264ec68605e546cb6d11fe27 pmc_10338521.pdf e64eca11c9c77e0746464fcafe11e9618148707a093a9e37e1c36d1b480a5cbc pmc_10338521.pdf Title: Curriculum learning-based strategy for low-density archaeological mound detection from historical maps in India and Pakistan Subject: Scientific Reports, https://doi.org/10.1038/s41598-023-38190-x Author: Iban Berganzo-Besga Creator: Springer Producer: Adobe PDF Library 15.0; modified using iText® 5.3.5 ©2000-2012 1T3XT BVBA (SPRINGER SBM; licensed version) CreationDate: Wed Jul 12 05:55:31 2023 CEST ModDate: Wed Jul 12 07:33:11 2023 CEST Custom Metadata: yes Metadata Stream: yes Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 15 Encrypted: no Page size: 595.276 x 782.362 pts Page rot: 0 File size: 3943985 bytes Optimized: no PDF version: 1.4 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- AESUQL+Wingdings-Regular Type 1C WinAnsi yes yes yes 506 0 MinionPro-Regular Type 1C Custom yes no yes 57 0 GZFNUM+TimesNewRomanPSMT CID TrueType Identity-H yes yes yes 507 0 HAVYIK+Corbel-Bold CID TrueType Identity-H yes yes yes 59 0 Corbel2 TrueType WinAnsi yes no yes 60 0 BBXTCW+Corbel CID TrueType Identity-H yes yes yes 61 0 Corbel3 CID TrueType Identity-H yes no yes 547 0 Corbel4 TrueType WinAnsi yes no yes 89 0 MinionPro-Bold Type 1C Custom yes no yes 58 0 MinionPro-It Type 1C Custom yes no yes 324 0 TimesNewRomanPSMT2 TrueType WinAnsi yes no yes 325 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2024-05-15 03:24:02 CEST RepresentationInformation: pmc_10338521.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2024-05-14 02:32:57 CEST Size: 3943985 Format: PDF Version: 1.4 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 587 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: ViewerPreferences: HideToolbar: false HideMenubar: false HideWindowUI: false FitWindow: false CenterWindow: false DisplayDocTitle: false NonFullScreenPageMode: UseNone Direction: L2R ViewArea: CropBox ViewClip: CropBox PrintArea: CropBox PageClip: CropBox PageLayout: SinglePage PageMode: UseOutlines Language: en-US Outlines: Item: Title: Curriculum learning-based strategy for low-density archaeological mound detection from historical maps in India and Pakistan Children: Item: Title: Materials and methods Children: Item: Title: Map digitisation and georeferencing. Item: Title: Deep learning model. Item: Title: Model refinement. Item: Title: Curriculum learning approach. Item: Title: Model filtering. Item: Title: Model evaluation. Item: Title: Results Item: Title: Discussion Children: Item: Title: Low-density approach. Item: Title: Model refinement and curriculum learning approach. Item: Title: Model filtering. Item: Title: Model evaluation. Item: Title: Comparison to manual digitisation of mound features. 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Orengo Felipe Lumbreras Aftab Alam Rosie Campbell Petrus J. Gerrits Jonas Gregorio de Souza Afifa Khan María Suárez-Moreno Jack Tomaney Rebecca C. Roberts Cameron A. 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