{"id":"https://openalex.org/W3171924675","doi":"https://doi.org/10.48550/arxiv.2106.00318","title":"Semi-Supervised Disparity Estimation with Deep Feature Reconstruction","display_name":"Semi-Supervised Disparity Estimation with Deep Feature Reconstruction","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3171924675","doi":"https://doi.org/10.48550/arxiv.2106.00318","mag":"3171924675"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2106.00318","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.00318","pdf_url":"https://arxiv.org/pdf/2106.00318","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.00318","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041680242","display_name":"Julia Guerrero\u2010Viu","orcid":"https://orcid.org/0000-0002-2077-683X","observed_orcids":["https://orcid.org/0000-0002-2077-683X"]},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Guerrero-Viu, Julia","raw_affiliation_strings":["Albert-Ludwigs Univ. of Freiburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Albert-Ludwigs Univ. of Freiburg","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060672248","display_name":"Sergio Izquierdo","orcid":"https://orcid.org/0000-0002-5639-5035","observed_orcids":["https://orcid.org/0000-0002-5639-5035"]},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Izquierdo, Sergio","raw_affiliation_strings":["Albert-Ludwigs Univ. of Freiburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Albert-Ludwigs Univ. of Freiburg","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033359275","display_name":"Philipp Schr\u00f6ppel","orcid":"https://orcid.org/0000-0003-0717-6896","observed_orcids":["https://orcid.org/0000-0003-0717-6896"]},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Schr\u00f6ppel, Philipp","raw_affiliation_strings":["Albert-Ludwigs Univ. of Freiburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Albert-Ludwigs Univ. of Freiburg","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070290355","display_name":"Thomas Brox","orcid":"https://orcid.org/0000-0002-6282-8861","observed_orcids":["https://orcid.org/0000-0002-6282-8861"]},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Brox, Thomas","raw_affiliation_strings":["Albert-Ludwigs Univ. of Freiburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Albert-Ludwigs Univ. of Freiburg","institution_ids":["https://openalex.org/I161046081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161046081"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/disparity-estimation","display_name":"disparity estimation","score":0.9340000152587891},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.9580000042915344},{"id":"https://openalex.org/keywords/domain-generalization","display_name":"domain generalization","score":0.8450000286102295},{"id":"https://openalex.org/keywords/self-supervised-learning","display_name":"self-supervised learning","score":0.7390000224113464},{"id":"https://openalex.org/keywords/synthetic-to-real-adaptation","display_name":"synthetic-to-real adaptation","score":0.7099999785423279},{"id":"https://openalex.org/keywords/photometric-loss","display_name":"photometric loss","score":0.8679999709129333},{"id":"https://openalex.org/keywords/stereo-vision","display_name":"stereo vision","score":0.6449999809265137}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7658424377441406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6713693141937256},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6635292768478394},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6386409401893616},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6167311668395996},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5721931457519531},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5410373210906982},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5190475583076477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5105303525924683},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.487703412771225},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.41342025995254517},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17859452962875366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15624213218688965},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08035999536514282},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2106.00318","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.00318","pdf_url":"https://arxiv.org/pdf/2106.00318","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2106.00318","doi":"https://doi.org/10.48550/arxiv.2106.00318","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2106.00318","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.00318","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.00318","pdf_url":"https://arxiv.org/pdf/2106.00318","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W2115579991","https://openalex.org/W2604231069","https://openalex.org/W2741885505","https://openalex.org/W2770902190","https://openalex.org/W2776033207","https://openalex.org/W2806446538","https://openalex.org/W2886944874","https://openalex.org/W2887479417","https://openalex.org/W2950496566","https://openalex.org/W2951179855","https://openalex.org/W2962816904","https://openalex.org/W2963617879","https://openalex.org/W3035710526","https://openalex.org/W3045038724","https://openalex.org/W3049757806","https://openalex.org/W3100388886","https://openalex.org/W3100569787","https://openalex.org/W3104104444","https://openalex.org/W3107389224","https://openalex.org/W3109923092"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W4375867731","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W3037187668","https://openalex.org/W2080152487","https://openalex.org/W3083152911"],"abstract_inverted_index":{"Despite":[0],"the":[1,9,47,50,56],"success":[2],"of":[3,49,58],"deep":[4,59],"learning":[5],"in":[6],"disparity":[7,68],"estimation,":[8],"domain":[10,28],"generalization":[11],"gap":[12],"remains":[13],"an":[14],"issue.":[15],"We":[16],"propose":[17],"a":[18,26,63],"semi-supervised":[19],"pipeline":[20],"that":[21],"successfully":[22],"adapts":[23],"DispNet":[24],"to":[25],"real-world":[27],"by":[29],"joint":[30],"supervised":[31],"training":[32,39],"on":[33,40],"labeled":[34],"synthetic":[35],"data":[36],"and":[37],"self-supervised":[38],"unlabeled":[41],"real":[42],"data.":[43],"Furthermore,":[44],"accounting":[45],"for":[46,67],"limitations":[48],"widely-used":[51],"photometric":[52],"loss,":[53],"we":[54],"analyze":[55],"impact":[57],"feature":[60],"reconstruction":[61],"as":[62],"promising":[64],"supervisory":[65],"signal":[66],"estimation.":[69]},"counts_by_year":[],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2025-10-10T00:00:00"}