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Diffstat (limited to 'scraper/samples/s2-search-api.json')
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diff --git a/scraper/samples/s2-search-api.json b/scraper/samples/s2-search-api.json new file mode 100644 index 00000000..207fb98c --- /dev/null +++ b/scraper/samples/s2-search-api.json @@ -0,0 +1,270 @@ +{ + "id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e", + "title": { + "text": "Large age-gap face verification by feature injection in deep networks", + "fragments": [ + { + "start": 0, + "end": 5 + }, + { + "start": 6, + "end": 9 + }, + { + "start": 10, + "end": 13 + }, + { + "start": 14, + "end": 18 + }, + { + "start": 19, + "end": 31 + }, + { + "start": 35, + "end": 42 + }, + { + "start": 43, + "end": 52 + }, + { + "start": 56, + "end": 60 + }, + { + "start": 61, + "end": 69 + } + ] + }, + "slug": "Large-age-gap-face-verification-by-feature-in-deep-Bianco", + "paperAbstract": { + "text": "This paper introduces a new method for face verification across large age gaps and also a dataset containing variations of age in the wild, the Large Age-Gap (LAG) dataset, with images ranging from child/young to adult/old. The proposed method exploits a deep convolutional neural network (DCNN) pre-trained for the face recognition task on a large dataset and then fine-tuned for the large age-gap face verification task. Finetuning is performed in a Siamese architecture using a contrastive loss function. A feature injection layer is introduced to boost verification accuracy, showing the ability of the DCNN to learn a similarity metric leveraging external features. Experimental results on the LAG dataset show that our method is able to outperform the face verification solutions in the state of the art considered.", + "fragments": [ + { + "start": 39, + "end": 43 + }, + { + "start": 44, + "end": 56 + }, + { + "start": 64, + "end": 69 + }, + { + "start": 70, + "end": 73 + }, + { + "start": 74, + "end": 78 + }, + { + "start": 123, + "end": 126 + }, + { + "start": 144, + "end": 149 + }, + { + "start": 150, + "end": 153 + }, + { + "start": 154, + "end": 157 + }, + { + "start": 255, + "end": 259 + }, + { + "start": 281, + "end": 288 + }, + { + "start": 316, + "end": 320 + }, + { + "start": 343, + "end": 348 + }, + { + "start": 385, + "end": 390 + }, + { + "start": 391, + "end": 394 + }, + { + "start": 395, + "end": 398 + }, + { + "start": 399, + "end": 403 + }, + { + "start": 404, + "end": 416 + }, + { + "start": 510, + "end": 517 + }, + { + "start": 518, + "end": 527 + }, + { + "start": 557, + "end": 569 + }, + { + "start": 758, + "end": 762 + }, + { + "start": 763, + "end": 775 + } + ] + }, + "authors": [ + [ + { + "name": "Simone Bianco", + "ids": [ + "2217051" + ], + "slug": "Simone-Bianco" + }, + { + "text": "Simone Bianco", + "fragments": [] + } + ] + ], + "structuredAuthors": [ + { + "firstName": "Simone", + "middleNames": [], + "lastName": "Bianco" + } + ], + "year": { + "text": "2017", + "fragments": [] + }, + "venue": { + "text": "Pattern Recognition Letters", + "fragments": [] + }, + "citationContexts": [], + "citationStats": { + "citedByBuckets": [ + { + "startKey": 2017, + "endKey": 2017, + "count": 2, + "estimate": { + "min": 2, + "value": 2.543286309486936, + "max": 6.143286309486936, + "confidence": 0.9 + } + }, + { + "startKey": 2018, + "endKey": 2018, + "count": 3, + "estimate": { + "min": 4, + "value": 5.086572618973872, + "max": 12.286572618973873, + "confidence": 0.9 + } + } + ], + "keyCitedByBuckets": [], + "numCitations": 5, + "estNumCitations": { + "min": 5, + "value": 6.3582157737173395, + "max": 15.35821577371734, + "confidence": 0.9 + }, + "numReferences": 40, + "numKeyCitations": 0, + "numKeyReferences": 8, + "numViewableReferences": 40, + "keyCitationRate": 0, + "estCitationVelocity": { + "estimate": { + "min": 0, + "value": 0, + "max": 0, + "confidence": 1 + }, + "estCitationsByRange": [] + }, + "estCitationAcceleration": { + "estimate": { + "min": 0, + "value": 0, + "max": 0, + "confidence": 1 + }, + "estCitationsByRange": [] + } + }, + "sources": [ + "DBLP", + "Grobid", + "ScienceParse", + "SPv2", + "ArXiv", + "Crawler", + "DBLP" + ], + "journal": { + "name": "Pattern Recognition Letters", + "volume": "90", + "pages": "36-42" + }, + "socialLinks": [], + "presentationUrls": [], + "doiInfo": { + "doi": "10.1016/j.patrec.2017.03.006", + "doiUrl": "http://doi.org/10.1016/j.patrec.2017.03.006" + }, + "links": [ + { + "url": "https://arxiv.org/pdf/1602.06149.pdf", + "linkType": "arxiv" + } + ], + "primaryPaperLink": { + "url": "https://arxiv.org/pdf/1602.06149.pdf", + "linkType": "arxiv" + }, + "alternatePaperLinks": [], + "entities": [], + "entityRelations": [], + "readerId": "1602.06149", + "blogs": [], + "videos": [], + "githubReferences": [], + "faqs": [], + "scorecardStats": [], + "hasPdf": true +}
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