{"id":"https://openalex.org/W3207807635","doi":"https://doi.org/10.1145/3474085.3475287","title":"AggNet for Self-supervised Monocular Depth Estimation: Go An Aggressive Step Furthe","display_name":"AggNet for Self-supervised Monocular Depth Estimation: Go An Aggressive Step Furthe","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3207807635","doi":"https://doi.org/10.1145/3474085.3475287","mag":"3207807635"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475287","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th 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/A5100456838","display_name":"Zhi Chen","orcid":"https://orcid.org/0000-0003-0529-5875"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi Chen","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087798118","display_name":"Xiaoqing Ye","orcid":"https://orcid.org/0000-0003-3268-880X"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Ye","raw_affiliation_strings":["Baidu, Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu, Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019528776","display_name":"Liang Du","orcid":"https://orcid.org/0000-0002-7952-5736"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Du","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663924","display_name":"Wei Yang","orcid":"https://orcid.org/0000-0002-1189-1254"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019604942","display_name":"Liusheng Huang","orcid":"https://orcid.org/0000-0001-8417-3256"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liusheng Huang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001865165","display_name":"Xiao Tan","orcid":"https://orcid.org/0000-0001-9162-8570"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Tan","raw_affiliation_strings":["Baidu, Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu, Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078030239","display_name":"Zhenbo Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenbo Shi","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074492050","display_name":"Fumin Shen","orcid":"https://orcid.org/0000-0001-7303-3231"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fumin Shen","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050031109","display_name":"Errui Ding","orcid":"https://orcid.org/0000-0002-1867-5378"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Errui Ding","raw_affiliation_strings":["Baidu, Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu, Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100456838"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61506536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1526","last_page":"1534"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9970999956130981,"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/computer-science","display_name":"Computer science","score":0.7755958437919617},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7718733549118042},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.7506320476531982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6697186827659607},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6640798449516296},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5472124218940735},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5090808272361755},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48747968673706055},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48419955372810364},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4831380546092987},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46889442205429077},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.43327367305755615},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23153921961784363},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08774471282958984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7755958437919617},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7718733549118042},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.7506320476531982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6697186827659607},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6640798449516296},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5472124218940735},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5090808272361755},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48747968673706055},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48419955372810364},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4831380546092987},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46889442205429077},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.43327367305755615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23153921961784363},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08774471282958984},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474085.3475287","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1578517601","https://openalex.org/W1803059841","https://openalex.org/W1901129140","https://openalex.org/W1905829557","https://openalex.org/W2049191044","https://openalex.org/W2074254947","https://openalex.org/W2083047701","https://openalex.org/W2117248802","https://openalex.org/W2132947399","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2300779272","https://openalex.org/W2520707372","https://openalex.org/W2593414960","https://openalex.org/W2605938684","https://openalex.org/W2609883120","https://openalex.org/W2887848798","https://openalex.org/W2896047481","https://openalex.org/W2904340070","https://openalex.org/W2934279571","https://openalex.org/W2963045776","https://openalex.org/W2963488291","https://openalex.org/W2963591054","https://openalex.org/W2963654727","https://openalex.org/W2964154063","https://openalex.org/W2967550825","https://openalex.org/W2969202876","https://openalex.org/W2981402926","https://openalex.org/W2981518351","https://openalex.org/W2985775862","https://openalex.org/W2990138404","https://openalex.org/W3034428934","https://openalex.org/W3034604951","https://openalex.org/W3034953156","https://openalex.org/W3035679448","https://openalex.org/W3107156787","https://openalex.org/W3107389224"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2729981612","https://openalex.org/W3210711677","https://openalex.org/W4200218943","https://openalex.org/W3111845905","https://openalex.org/W3010374521"],"abstract_inverted_index":{"Without":[0],"appealing":[1],"to":[2,29,42,59,89,112,126,144,161,173,178],"exhaustive":[3],"labeled":[4],"data,":[5],"self-supervised":[6],"monocular":[7],"depth":[8,101,115,118,123,130,146,180],"estimation":[9],"(MDE)":[10],"plays":[11],"a":[12,22,54,66,81,91,148,164],"fundamental":[13],"role":[14],"in":[15],"computer":[16],"vision.":[17],"Previous":[18],"methods":[19],"usually":[20],"adopt":[21],"one-stage":[23],"MDE":[24,87,104,140,176],"network,":[25],"which":[26,84,151],"is":[27,51,124,142,171],"insufficient":[28],"achieve":[30],"high":[31],"performance.":[32],"In":[33,76,159],"this":[34,40],"paper,":[35],"we":[36,78],"dig":[37],"deep":[38],"into":[39],"task":[41],"propose":[43,80],"an":[44],"aggressive":[45],"framework":[46,50],"termed":[47],"AggNet.":[48],"The":[49,94],"based":[52],"on":[53,195],"training-only":[55],"progressive":[56],"two-stage":[57],"module":[58,96],"perform":[60],"pseudo":[61],"counter-surveillance":[62],"as":[63,65,110],"well":[64],"simple":[67,165],"yet":[68,166],"effective":[69,167],"dual-warp":[70,168],"loss":[71,170],"function":[72],"between":[73,182],"image":[74,109,184],"pairs.":[75,185],"particular,":[77],"first":[79],"residual":[82,95,117],"module,":[83],"follows":[85],"the":[86,99,106,121,128,133,139,175,196],"network":[88,141,177],"learn":[90],"refined":[92,114,122],"depth.":[93],"takes":[97],"both":[98],"initial":[100,107,129],"generated":[102],"from":[103,147],"and":[105,198],"color":[108],"input":[111],"generate":[113],"with":[116],"learning.":[119],"Then,":[120],"leveraged":[125],"supervise":[127],"simultaneously":[131],"during":[132],"training":[134],"period.":[135],"For":[136],"inference,":[137],"only":[138],"retained":[143],"regress":[145],"single":[149],"image,":[150],"gains":[152],"better":[153],"performance":[154,194],"without":[155],"introducing":[156],"extra":[157],"computation.":[158],"addition":[160],"self-distillation":[162],"loss,":[163],"consistency":[169,181],"introduced":[172],"encourage":[174],"keep":[179],"stereo":[183],"Extensive":[186],"experiments":[187],"show":[188],"that":[189],"our":[190],"AggNet":[191],"achieves":[192],"state-of-the-art":[193],"KITTI":[197],"Make3D":[199],"datasets.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}