{"id":"https://openalex.org/W3092693966","doi":"https://doi.org/10.1145/3394171.3413706","title":"Enhancing Self-supervised Monocular Depth Estimation via Incorporating Robust Constraints","display_name":"Enhancing Self-supervised Monocular Depth Estimation via Incorporating Robust Constraints","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3092693966","doi":"https://doi.org/10.1145/3394171.3413706","mag":"3092693966"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3413706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100448609","display_name":"Rui Li","orcid":"https://orcid.org/0000-0003-1679-5904"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Li","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006438124","display_name":"Xiantuo He","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiantuo He","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673744","display_name":"Yu Zhu","orcid":"https://orcid.org/0000-0002-1699-8165"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhu","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101612581","display_name":"Xianjun Li","orcid":"https://orcid.org/0000-0001-7690-9155"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianjun Li","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778199","display_name":"Jinqiu Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqiu Sun","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028235866","display_name":"Yanning Zhang","orcid":"https://orcid.org/0000-0002-2977-8057"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Zhang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100448609"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.977,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.78478524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3108","last_page":"3117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9983999729156494,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7738910913467407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7181683778762817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6557068824768066},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.5882106423377991},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.56175297498703},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.541320264339447},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5168636441230774},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.46752429008483887},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4466981291770935},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.41040340065956116},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3307320475578308},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19360506534576416},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.1208859384059906}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7738910913467407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181683778762817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6557068824768066},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.5882106423377991},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.56175297498703},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.541320264339447},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5168636441230774},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.46752429008483887},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4466981291770935},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.41040340065956116},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3307320475578308},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19360506534576416},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.1208859384059906},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394171.3413706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G7312166480","display_name":null,"funder_award_id":"61901384, 61871328","funder_id":"https://openalex.org/F4320327720","funder_display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320327720","display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1612997784","https://openalex.org/W1674866864","https://openalex.org/W1686810756","https://openalex.org/W1975615174","https://openalex.org/W1992178727","https://openalex.org/W1996126470","https://openalex.org/W2026203852","https://openalex.org/W2028936041","https://openalex.org/W2033819227","https://openalex.org/W2058017216","https://openalex.org/W2074254947","https://openalex.org/W2083047701","https://openalex.org/W2099443716","https://openalex.org/W2108598243","https://openalex.org/W2112174119","https://openalex.org/W2122122381","https://openalex.org/W2132947399","https://openalex.org/W2133665775","https://openalex.org/W2153405862","https://openalex.org/W2158211626","https://openalex.org/W2163446794","https://openalex.org/W2194775991","https://openalex.org/W2218842719","https://openalex.org/W2221366145","https://openalex.org/W2257063750","https://openalex.org/W2340897893","https://openalex.org/W2471962767","https://openalex.org/W2474281075","https://openalex.org/W2519570530","https://openalex.org/W2520707372","https://openalex.org/W2593414960","https://openalex.org/W2609883120","https://openalex.org/W2615023493","https://openalex.org/W2753893487","https://openalex.org/W2767981409","https://openalex.org/W2887848798","https://openalex.org/W2890949887","https://openalex.org/W2895192073","https://openalex.org/W2949023359","https://openalex.org/W2950471768","https://openalex.org/W2951234442","https://openalex.org/W2963412495","https://openalex.org/W2963488291","https://openalex.org/W2963517541","https://openalex.org/W2963562098","https://openalex.org/W2963583471","https://openalex.org/W2963591054","https://openalex.org/W2963654727","https://openalex.org/W2963906250","https://openalex.org/W2964968086","https://openalex.org/W2967550825","https://openalex.org/W2971000934","https://openalex.org/W2972581288","https://openalex.org/W2976021265","https://openalex.org/W2981732213","https://openalex.org/W2982459941","https://openalex.org/W2985775862","https://openalex.org/W2992344932","https://openalex.org/W3000068051","https://openalex.org/W3009476605","https://openalex.org/W3010290253","https://openalex.org/W3035056458","https://openalex.org/W3103648783","https://openalex.org/W3130403939","https://openalex.org/W4213260616","https://openalex.org/W4234552385"],"related_works":["https://openalex.org/W1592998112","https://openalex.org/W1585193483","https://openalex.org/W1965377399","https://openalex.org/W1510768092","https://openalex.org/W2611003898","https://openalex.org/W4243135923","https://openalex.org/W2230808081","https://openalex.org/W2540973786","https://openalex.org/W2951912874","https://openalex.org/W1564991550"],"abstract_inverted_index":{"Self-supervised":[0],"depth":[1],"estimation":[2,121],"has":[3],"shown":[4],"great":[5],"prospects":[6],"in":[7],"inferring":[8],"3D":[9],"structures":[10],"using":[11,46],"purely":[12],"unannotated":[13],"images.":[14],"However,":[15],"its":[16],"performance":[17],"usually":[18],"drops":[19],"when":[20],"trained":[21],"on":[22,99,138],"the":[23,40,43,68,82,87,100,104,108,112,119,145,151,172,176],"images":[24],"with":[25,159],"changing":[26,160],"brightness":[27,74,161],"and":[28,51,111,115,141,162,167],"moving":[29],"objects.":[30],"In":[31],"this":[32,36],"paper,":[33],"we":[34,59,77,117],"address":[35],"issue":[37],"by":[38,73,90,106],"enhancing":[39],"robustness":[41],"of":[42,49,103,147],"self-supervised":[44],"paradigm":[45],"a":[47,61,91,130],"set":[48],"image-based":[50],"geometry-based":[52],"constraints.":[53],"Our":[54],"contributions":[55],"are":[56],"threefold,":[57],"1)":[58],"propose":[60,78],"gradient-based":[62],"robust":[63],"photometric":[64],"loss":[65],"which":[66,96],"restrains":[67],"false":[69],"supervisory":[70],"signals":[71],"caused":[72],"changes,":[75],"2)":[76],"to":[79,123],"filter":[80],"out":[81],"unreliable":[83],"areas":[84],"that":[85,150,171],"violate":[86],"rigid":[88],"assumption":[89],"novel":[92],"combined":[93],"selective":[94],"mask,":[95],"is":[97],"computed":[98],"forward":[101],"pass":[102],"network":[105,122],"leveraging":[107],"inter-loss":[109],"consistency":[110,133],"loss-gradient":[113],"consistency,":[114],"3)":[116],"constrain":[118],"motion":[120],"generate":[124],"across-frame":[125],"consistent":[126],"motions":[127],"via":[128],"proposing":[129],"triplet-based":[131],"cycle":[132],"constraint.":[134],"Extensive":[135],"experiments":[136],"conducted":[137],"KITTI,":[139],"Cityscape":[140],"Make3D":[142],"datasets":[143],"demonstrate":[144],"superiority":[146],"our":[148],"method,":[149],"proposed":[152,173],"method":[153,174],"can":[154],"effectively":[155],"handle":[156],"complex":[157],"scenes":[158],"object":[163],"motions.":[164],"Both":[165],"qualitative":[166],"quantitative":[168],"results":[169],"show":[170],"outperforms":[175],"state-of-the-art":[177],"methods.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}