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{"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "dataset": {"key": "laofiw", "name_short": "LAOFIW", "name_display": "LAOFIW", "name_full": "LAOFIW \u2013 Labeled Ancestral Faces in the Wild", "purpose": "", "comment": "LAOFIW is a dataset of 14,000 images divided into four equally sized classes: sub-Saharan Africa, East Asia, Indian subcontinent, Western Europe.", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "http://www.robots.ox.ac.uk/~vgg/data/laofiw/", "verify_do": "Y", "verify_done": "", "cooperative": "N", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "Y", "ft_share": "Y", "nyt_share": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "", "parent": "", "sources": "", "source_cat": "", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "", "ongoing": "", "images": "", "videos": "", "tracklets": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "4eab317b5ac436a949849ed286baa3de2a541eef", "key": "laofiw", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.02169.pdf"], "address": "", "name": "LAOFIW", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00194.pdf"], "doi": []}, {"id": "7d0b7a42368d7fb78ade5e21cad713b5c5611ee4", "title": "SensitiveNets: Learning Agnostic Representations with Application to Face Recognition", "addresses": [{"name": "Universidad Aut\u00f3noma de Madrid", "source_name": "Video Processing and Understanding Lab, Universidad Aut\u00f3noma de Madrid (Spain)", "street_adddress": "Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain", "lat": "40.54669830", "lng": "-3.69436190", "type": "edu", "country": "Spain"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.00334.pdf"], "doi": []}]}
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