{"id":"https://openalex.org/W4406031693","doi":"https://doi.org/10.48550/arxiv.2501.00513","title":"CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval","display_name":"CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval","publication_year":2024,"publication_date":"2024-12-31","ids":{"openalex":"https://openalex.org/W4406031693","doi":"https://doi.org/10.48550/arxiv.2501.00513"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2501.00513","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.00513","pdf_url":"https://arxiv.org/pdf/2501.00513","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2501.00513","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100626730","display_name":"Yifan Xu","orcid":"https://orcid.org/0000-0003-4618-6587"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xu, Yifan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048357912","display_name":"Xinhao Li","orcid":"https://orcid.org/0000-0002-1821-2680"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xinhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100877460","display_name":"Yichun Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yichun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029499523","display_name":"Rui Huang","orcid":"https://orcid.org/0000-0002-7950-1662"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng, Desen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436505","display_name":"Limin Wang","orcid":"https://orcid.org/0000-0002-3674-7718"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Rui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Wang, Limin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Limin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100626730"],"corresponding_institution_ids":[],"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/T11439","display_name":"Video Analysis and Summarization","score":0.9987000226974487,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9987000226974487,"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/T11714","display_name":"Multimodal Machine Learning Applications","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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9907000064849854,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8274228572845459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6868575811386108},{"id":"https://openalex.org/keywords/video-retrieval","display_name":"Video retrieval","score":0.6619352102279663},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5521270632743835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35453981161117554},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3361565172672272},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09021595120429993},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06978654861450195}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8274228572845459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6868575811386108},{"id":"https://openalex.org/C2983174267","wikidata":"https://www.wikidata.org/wiki/Q3775098","display_name":"Video retrieval","level":2,"score":0.6619352102279663},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5521270632743835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35453981161117554},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3361565172672272},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09021595120429993},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06978654861450195}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2501.00513","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.00513","pdf_url":"https://arxiv.org/pdf/2501.00513","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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.2501.00513","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2501.00513","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2501.00513","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.00513","pdf_url":"https://arxiv.org/pdf/2501.00513","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406031693.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W3204019825","https://openalex.org/W2399947890"],"abstract_inverted_index":{"Video":[0],"understanding,":[1],"including":[2],"video":[3,18,32,47,89,92,116,119,159,165,186,196,199],"captioning":[4,48,93,120],"and":[5,20,49,57,68,84,91,105,118,180,198],"retrieval,":[6],"is":[7],"still":[8],"a":[9,42,99,123,128,133,140],"great":[10],"challenge":[11],"for":[12,45,71,88,178],"video-language":[13],"models":[14,176],"(VLMs).":[15],"The":[16],"existing":[17],"retrieval":[19,50,90,117,179,197],"caption":[21],"benchmarks":[22],"only":[23,155],"include":[24],"short":[25],"descriptions,":[26],"limits":[27],"their":[28],"ability":[29],"of":[30,55,150],"detailed":[31,59,158,200],"understanding":[33],"evaluation.":[34],"To":[35],"address":[36],"this":[37,76],"problem,":[38],"we":[39,78,126,145],"present":[40],"CaReBench,":[41],"testing":[43],"benchmark":[44],"fine-grained":[46,195],"with":[51],"1,000":[52],"high-quality":[53],"pairs":[54],"videos":[56],"human-annotated":[58],"captions.":[60],"Uniquely,":[61],"it":[62,153],"provides":[63],"manually":[64],"separated":[65],"spatial":[66,104],"annotations":[67,70],"temporal":[69,106],"each":[72],"video.":[73],"Based":[74],"on":[75,132],"design,":[77],"introduce":[79],"two":[80],"evaluation":[81],"metrics,":[82],"ReBias":[83],"CapST,":[85],"specifically":[86],"tailored":[87],"tasks,":[94],"respectively.":[95],"These":[96],"metrics":[97],"enable":[98],"comprehensive":[100],"investigation":[101],"into":[102],"the":[103,148,174,181],"biases":[107],"inherent":[108],"in":[109,122,185,193],"VLMs.":[110],"In":[111],"addition,":[112],"to":[113,156,163,173],"handle":[114],"both":[115,194],"tasks":[121],"unified":[124],"framework,":[125],"develop":[127],"simple":[129],"baseline":[130,189],"based":[131],"Multimodal":[134],"Language":[135],"Model":[136],"(MLLM).":[137],"By":[138],"implementing":[139],"two-stage":[141],"Supervised":[142],"Fine-Tuning":[143],"(SFT),":[144],"fully":[146],"unlock":[147],"potential":[149],"MLLM,":[151],"enabling":[152],"not":[154],"generate":[157],"descriptions":[160],"but":[161],"also":[162],"extract":[164],"features.":[166],"Surprisingly,":[167],"experimental":[168],"results":[169],"demonstrate":[170],"that,":[171],"compared":[172],"CLIP-based":[175],"designed":[177],"popular":[182],"MLLMs":[183],"skilled":[184],"captioning,":[187],"our":[188],"shows":[190],"competitive":[191],"performance":[192],"captioning.":[201]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-01-04T00:00:00"}