diff options
Diffstat (limited to 'site/datasets/unknown/adience.json')
| -rw-r--r-- | site/datasets/unknown/adience.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/unknown/adience.json b/site/datasets/unknown/adience.json index 4bdfd4f5..62b39fcf 100644 --- a/site/datasets/unknown/adience.json +++ b/site/datasets/unknown/adience.json @@ -1 +1 @@ -{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "citations": [{"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "f4003cbbff3b3d008aa64c76fed163c10d9c68bd", "title": "Compass local binary patterns for gender recognition of facial photographs and sketches", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2016.08.055"]}, {"id": "d7fd3dedb6b260702ed5e4b9175127815286e8da", "title": "Knowledge sharing: From atomic to parametrised context and shallow to deep models", "year": "2017", "pdf": [], "doi": []}, {"id": "02138f475677ca1f9a5919870a78a3e4518b395a", "title": "Fusion of Domain-Specific and Trainable Features for Gender Recognition From Face Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331979"]}, {"id": "03f3bde03f83c3ff4f346d761fde4ce031dd4c69", "title": "Deep Models Calibration with Bayesian Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03f3/bde03f83c3ff4f346d761fde4ce031dd4c69.pdf"], "doi": []}, {"id": "772a30f1a7a3071e5ce6ad4b0dbddc67889f5873", "title": "FDAR-Net: Joint Convolutional Neural Networks for Face Detection and Attribute Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830820"]}, {"id": "42a5dc91852c8c14ed5f4c3b451c9dc98348bc02", "title": "A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7813020", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2016.021", "http://doi.org/10.1109/SIBGRAPI.2016.021"]}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "5fb5d9389e2a2a4302c81bcfc068a4c8d4efe70c", "title": "Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5fb5/d9389e2a2a4302c81bcfc068a4c8d4efe70c.pdf"], "doi": []}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.pdf"], "doi": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "dedbf5d18bbb995215d513abb21c8555fcd1b5f4", "title": "Contributions to Deep Learning Models", "year": "2016", "pdf": ["https://riunet.upv.es/bitstream/handle/10251/61296/MANSANET%20-%20Contributions%20to%20Deep%20Learning%20Models.pdf;jsessionid=118A8263B301DE77F2C02BDA0178D474?sequence=1", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_castellano.pdf?isAllowed=y&sequence=3", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_ingles.pdf?isAllowed=y&sequence=5", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_valenciano.pdf?isAllowed=y&sequence=4"], "doi": ["https://doi.org/10.4995/Thesis%2F10251%2F61296"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "be0a0e563445119b82d664d370e646e53e69a4c5", "title": "Age and gender classification from speech and face images by jointly fine-tuned deep neural networks", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.eswa.2017.05.037"]}, {"id": "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "title": "DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04280.pdf"], "doi": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}, {"id": "166186e551b75c9b5adcc9218f0727b73f5de899", "title": "Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1661/86e551b75c9b5adcc9218f0727b73f5de899.pdf"], "doi": []}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830587"]}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "9ee35b278064554a1e3c2f9d8396f5a2fe5caa8e", "title": "Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578147"]}, {"id": "aa6f7c3daed31d331ef626758e990cbc04632852", "title": "Merging Deep Neural Networks for Mobile Devices", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575382"]}, {"id": "8a917903b0a1d47f24bc7776ab0bd00aa8ec88f3", "title": "A Constrained Deep Neural Network for Ordinal Regression", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578191"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "b839bc95794dc65340b6e5fea098fa6e6ea5e430", "title": "Soft Biometrics in Online Social Networks: A Case Study on Twitter User Gender Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7912201", "http://doi.org/10.1109/WACVW.2017.8"]}, {"id": "b8b9cef0938975c5b640b7ada4e3dea6c06d64e9", "title": "Metric-Promoted Siamese Network for Gender Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961849", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.119", "http://doi.org/10.1109/FG.2017.119"]}, {"id": "7361b900018f22e37499443643be1ff9d20edfd6", "title": "Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2016.0169"]}, {"id": "12e4545d07e1793df87520f384b37a015815d2f7", "title": "Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s10462-018-9661-z"]}, {"id": "321db1059032b828b223ca30f3304257f0c41e4c", "title": "Comparative evaluation of age classification from facial images", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7275951", "http://doi.org/10.1109/ICACCI.2015.7275951"]}, {"id": "e8951cc76af80da43e3528fe6d984071f17f57e7", "title": "Online Cost Efficient Customer Recognition System for Retail Analytics", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7912202", "http://doi.org/10.1109/WACVW.2017.9"]}, {"id": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02181.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "7aa4c16a8e1481629f16167dea313fe9256abb42", "title": "Multi-task learning for face identification and attribute estimation", "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002981.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952703", "http://doi.org/10.1109/ICASSP.2017.7952703"]}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "8879083463a471898ff9ed9403b84db277be5bf6", "title": "Regression Facial Attribute Classification via simultaneous dictionary learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.08.031"]}]}
\ No newline at end of file +{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "citations": [{"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "02138f475677ca1f9a5919870a78a3e4518b395a", "title": "Fusion of Domain-Specific and Trainable Features for Gender Recognition From Face Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8331979"]}, {"id": "03f3bde03f83c3ff4f346d761fde4ce031dd4c69", "title": "Deep Models Calibration with Bayesian Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/03f3/bde03f83c3ff4f346d761fde4ce031dd4c69.pdf"], "doi": []}, {"id": "772a30f1a7a3071e5ce6ad4b0dbddc67889f5873", "title": "FDAR-Net: Joint Convolutional Neural Networks for Face Detection and Attribute Recognition", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7830820"]}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.pdf"], "doi": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "dedbf5d18bbb995215d513abb21c8555fcd1b5f4", "title": "Contributions to Deep Learning Models", "year": "2016", "pdf": ["https://riunet.upv.es/bitstream/handle/10251/61296/MANSANET%20-%20Contributions%20to%20Deep%20Learning%20Models.pdf;jsessionid=118A8263B301DE77F2C02BDA0178D474?sequence=1", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_castellano.pdf?isAllowed=y&sequence=3", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_ingles.pdf?isAllowed=y&sequence=5", "https://riunet.upv.es/bitstream/handle/10251/61296/resumen_valenciano.pdf?isAllowed=y&sequence=4"], "doi": ["https://doi.org/10.4995/Thesis%2F10251%2F61296"]}, {"id": "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "title": "DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04280.pdf"], "doi": []}, {"id": "8355d095d3534ef511a9af68a3b2893339e3f96b", "title": "DEX: Deep EXpectation of Apparent Age from a Single Image", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7406390"]}, {"id": "166186e551b75c9b5adcc9218f0727b73f5de899", "title": "Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/1661/86e551b75c9b5adcc9218f0727b73f5de899.pdf"], "doi": []}, {"id": "635158d2da146e9de559d2742a2fa234e06b52db", "title": "Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns", "year": "2015", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2830587"]}, {"id": "9ee35b278064554a1e3c2f9d8396f5a2fe5caa8e", "title": "Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578147"]}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "b839bc95794dc65340b6e5fea098fa6e6ea5e430", "title": "Soft Biometrics in Online Social Networks: A Case Study on Twitter User Gender Recognition", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7912201", "http://doi.org/10.1109/WACVW.2017.8"]}, {"id": "b8b9cef0938975c5b640b7ada4e3dea6c06d64e9", "title": "Metric-Promoted Siamese Network for Gender Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961849", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.119", "http://doi.org/10.1109/FG.2017.119"]}, {"id": "7361b900018f22e37499443643be1ff9d20edfd6", "title": "Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1049/iet-bmt.2016.0169"]}, {"id": "321db1059032b828b223ca30f3304257f0c41e4c", "title": "Comparative evaluation of age classification from facial images", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7275951", "http://doi.org/10.1109/ICACCI.2015.7275951"]}, {"id": "e8951cc76af80da43e3528fe6d984071f17f57e7", "title": "Online Cost Efficient Customer Recognition System for Retail Analytics", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7912202", "http://doi.org/10.1109/WACVW.2017.9"]}, {"id": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02181.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "d9c0310203179d5328c4f1475fa4d68c5f0c7324", "title": "Face Analysis in the Wild", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8250221", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI-T.2017.11", "http://doi.org/10.1109/SIBGRAPI-T.2017.11"]}, {"id": "7aa4c16a8e1481629f16167dea313fe9256abb42", "title": "Multi-task learning for face identification and attribute estimation", "year": "2017", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202017/pdfs/0002981.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952703", "http://doi.org/10.1109/ICASSP.2017.7952703"]}, {"id": "8879083463a471898ff9ed9403b84db277be5bf6", "title": "Regression Facial Attribute Classification via simultaneous dictionary learning", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.08.031"]}]}
\ No newline at end of file |