{"id":"https://openalex.org/W4389666026","doi":"https://doi.org/10.1109/iros55552.2023.10341917","title":"SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments","display_name":"SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4389666026","doi":"https://doi.org/10.1109/iros55552.2023.10341917"},"language":"en","primary_location":{"id":"doi:10.1109/iros55552.2023.10341917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros55552.2023.10341917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5039258932","display_name":"Hanjiang Hu","orcid":"https://orcid.org/0000-0002-5698-5887"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hanjiang Hu","raw_affiliation_strings":["Carnegie Mellon University,Pittsburgh,USA","Carnegie Mellon University, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Pittsburgh,USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101291197","display_name":"Baoquan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoquan Yang","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China","Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089660303","display_name":"Zhijian Qiao","orcid":"https://orcid.org/0000-0001-6639-1110"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhijian Qiao","raw_affiliation_strings":["Hong Kong University of Science and Technology,Hong Kong,China","Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology,Hong Kong,China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451051","display_name":"Shiqi Liu","orcid":"https://orcid.org/0000-0002-9165-3132"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiqi Liu","raw_affiliation_strings":["Carnegie Mellon University,Pittsburgh,USA","Carnegie Mellon University, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Pittsburgh,USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026307285","display_name":"Jiacheng Zhu","orcid":"https://orcid.org/0000-0001-9707-7503"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiacheng Zhu","raw_affiliation_strings":["Carnegie Mellon University,Pittsburgh,USA","Carnegie Mellon University, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Pittsburgh,USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037613999","display_name":"Zuxin Liu","orcid":"https://orcid.org/0000-0001-7412-5074"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zuxin Liu","raw_affiliation_strings":["Carnegie Mellon University,Pittsburgh,USA","Carnegie Mellon University, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Pittsburgh,USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058280572","display_name":"Wenhao Ding","orcid":"https://orcid.org/0000-0003-3218-8792"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenhao Ding","raw_affiliation_strings":["Carnegie Mellon University,Pittsburgh,USA","Carnegie Mellon University, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Pittsburgh,USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037644321","display_name":"Ding Zhao","orcid":"https://orcid.org/0000-0002-9400-8446"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ding Zhao","raw_affiliation_strings":["Carnegie Mellon University,Pittsburgh,USA","Carnegie Mellon University, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Pittsburgh,USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107772128","display_name":"Hesheng Wang","orcid":"https://orcid.org/0000-0002-9959-1634"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hesheng Wang","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China","Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5039258932"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.1134,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80661401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"11384","last_page":"11389"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983000159263611,"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":0.9901999831199646,"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/monocular","display_name":"Monocular","score":0.9064505100250244},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8842852711677551},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8126193284988403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7528218030929565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6845948100090027},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.569100022315979},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5428663492202759},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.4896247982978821},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4080081582069397},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33958911895751953},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10542663931846619}],"concepts":[{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.9064505100250244},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8842852711677551},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8126193284988403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7528218030929565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6845948100090027},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.569100022315979},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5428663492202759},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.4896247982978821},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4080081582069397},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33958911895751953},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10542663931846619},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros55552.2023.10341917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros55552.2023.10341917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-135636","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-135636","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G2951883380","display_name":null,"funder_award_id":"62225309,62073222,U21A20480,U1913204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W2132947399","https://openalex.org/W2150066425","https://openalex.org/W2163704618","https://openalex.org/W2340897893","https://openalex.org/W2397830550","https://openalex.org/W2519683295","https://openalex.org/W2520707372","https://openalex.org/W2609883120","https://openalex.org/W2626747964","https://openalex.org/W2740418457","https://openalex.org/W2798414551","https://openalex.org/W2934279571","https://openalex.org/W2951234442","https://openalex.org/W2952038393","https://openalex.org/W2955639361","https://openalex.org/W2962804601","https://openalex.org/W2962960377","https://openalex.org/W2963150697","https://openalex.org/W2963316641","https://openalex.org/W2963760790","https://openalex.org/W2963825193","https://openalex.org/W2964968086","https://openalex.org/W2969088625","https://openalex.org/W2974441319","https://openalex.org/W2985775862","https://openalex.org/W2990946490","https://openalex.org/W3003924953","https://openalex.org/W3034604951","https://openalex.org/W3081167590","https://openalex.org/W3089978207","https://openalex.org/W3095309006","https://openalex.org/W3107156787","https://openalex.org/W3111205756","https://openalex.org/W3132087600","https://openalex.org/W3132270109","https://openalex.org/W3175682855","https://openalex.org/W3194533273","https://openalex.org/W3211415199","https://openalex.org/W4206545998","https://openalex.org/W4214520160","https://openalex.org/W4283066310","https://openalex.org/W4303650407","https://openalex.org/W4312543476","https://openalex.org/W4385374432","https://openalex.org/W4386723894","https://openalex.org/W4389666026","https://openalex.org/W6685261749","https://openalex.org/W6703405610","https://openalex.org/W6753941181","https://openalex.org/W6766261854","https://openalex.org/W6785931745","https://openalex.org/W6803659330","https://openalex.org/W6854954567"],"related_works":["https://openalex.org/W2074216034","https://openalex.org/W4391053327","https://openalex.org/W2073100926","https://openalex.org/W2785517206","https://openalex.org/W1976277412","https://openalex.org/W2017236227","https://openalex.org/W4213085014","https://openalex.org/W4225386930","https://openalex.org/W2066222094","https://openalex.org/W2031714422"],"abstract_inverted_index":{"Different":[0],"environments":[1,24,132],"pose":[2],"a":[3,63],"great":[4],"challenge":[5],"to":[6,58,83],"the":[7,17,43,59,72,85,112,123,128,157],"outdoor":[8,163],"robust":[9],"visual":[10,164],"perception":[11],"for":[12,162],"long-term":[13,141,158],"autonomous":[14,120],"driving,":[15],"and":[16,55,67,78,99,115,125,136,148,160],"generalization":[18,161],"of":[19,45,61,130],"learning-based":[20,46],"algorithms":[21],"on":[22,42,111,156,170],"different":[23,50,90],"is":[25,81,145,168],"still":[26,146],"an":[27],"open":[28],"problem.":[29],"Although":[30],"monocular":[31,74,142],"depth":[32,47,75,86,101,143],"prediction":[33,48,76,102,144],"has":[34],"been":[35],"well":[36],"studied":[37],"recently,":[38],"few":[39],"works":[40],"focus":[41],"robustness":[44,126,159],"across":[49],"environments,":[51],"e.g.":[52],"changing":[53],"illumination":[54],"seasons,":[56],"owing":[57],"lack":[60],"such":[62],"multi-environment":[64],"real-world":[65],"dataset":[66,77,114,167],"benchmark.":[68],"To":[69],"this":[70],"end,":[71],"cross-season":[73],"benchmark,":[79],"SeasonDepth,":[80],"introduced":[82],"benchmark":[84],"estimation":[87],"performance":[88,124],"under":[89],"environments.":[91],"We":[92,138],"investigate":[93],"several":[94],"state-of-the-art":[95],"representative":[96],"open-source":[97],"supervised":[98],"self-supervised":[100],"methods":[103],"using":[104],"newly-formulated":[105],"metrics.":[106],"Through":[107],"extensive":[108],"experimental":[109],"evaluation":[110,117],"proposed":[113],"cross-dataset":[116],"with":[118],"current":[119],"driving":[121],"datasets,":[122],"against":[127],"influence":[129],"multiple":[131],"are":[133],"analyzed":[134],"qualitatively":[135],"quantitatively.":[137],"show":[139],"that":[140],"challenging":[147],"believe":[149],"our":[150],"work":[151],"can":[152],"boost":[153],"further":[154],"research":[155],"perception.":[165],"The":[166],"available":[169],"https://seasondepth.github.io.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}
