{"id":"https://openalex.org/W7202356281","doi":"https://doi.org/10.1145/3767308.3835030","title":"ProtoHGF-Net: Prototype HyperGraph Fusion with Intra-modal Calibration for RGBT Object Detection","display_name":"ProtoHGF-Net: Prototype HyperGraph Fusion with Intra-modal Calibration for RGBT Object Detection","publication_year":2026,"publication_date":"2026-11-06","ids":{"openalex":"https://openalex.org/W7202356281","doi":"https://doi.org/10.1145/3767308.3835030"},"language":"en","primary_location":{"id":"doi:10.1145/3767308.3835030","doi":"https://doi.org/10.1145/3767308.3835030","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3767308.3835030","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3767308.3835030","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138640454","display_name":"Xiangqi Chen","orcid":"https://orcid.org/0000-0003-3678-6685","observed_orcids":["https://orcid.org/0000-0003-3678-6685"]},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangqi Chen","raw_affiliation_strings":["Zhejiang Normal University, Jinhua, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-3678-6685","affiliations":[{"raw_affiliation_string":"Zhejiang Normal University, Jinhua, Zhejiang, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059209891","display_name":"Xiuling Zhang","orcid":"https://orcid.org/0000-0003-4798-3641","observed_orcids":["https://orcid.org/0000-0003-4798-3641","https://orcid.org/0000-0002-7203-2007","https://orcid.org/0000-0001-5764-2088"]},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuling Zhang","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-7203-2007","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086794052","display_name":"Chengzhuan Yang","orcid":"https://orcid.org/0000-0002-6675-9074","observed_orcids":["https://orcid.org/0000-0002-6675-9074"]},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengzhuan Yang","raw_affiliation_strings":["Zhejiang Normal University, Jinhua, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-6675-9074","affiliations":[{"raw_affiliation_string":"Zhejiang Normal University, Jinhua, Zhejiang, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125024674","display_name":"Li Zhao","orcid":"https://orcid.org/0000-0001-5787-2705","observed_orcids":["https://orcid.org/0000-0001-5787-2705"]},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhao","raw_affiliation_strings":["Zhejiang Normal University, Jinhua, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0001-5787-2705","affiliations":[{"raw_affiliation_string":"Zhejiang Normal University, Jinhua, Zhejiang, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125762815","display_name":"Dawei Zhang","orcid":"https://orcid.org/0000-0002-7593-1593","observed_orcids":["https://orcid.org/0000-0002-7593-1593"]},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Zhang","raw_affiliation_strings":["Zhejiang Normal University, Jinhua, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-7593-1593","affiliations":[{"raw_affiliation_string":"Zhejiang Normal University, Jinhua, Zhejiang, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777089","display_name":"Yanchao Wang","orcid":"https://orcid.org/0000-0003-4518-925X","observed_orcids":["https://orcid.org/0000-0003-4518-925X","https://orcid.org/0009-0003-3297-642X","https://orcid.org/0009-0007-9493-5411"]},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Wang","raw_affiliation_strings":["Zhejiang Normal University, Jinhua, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0007-9493-5411","affiliations":[{"raw_affiliation_string":"Zhejiang Normal University, Jinhua, Zhejiang, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147100166","display_name":"Liyuan Chen","orcid":"https://orcid.org/0000-0001-7816-5874","observed_orcids":["https://orcid.org/0000-0001-7816-5874"]},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyuan Chen","raw_affiliation_strings":["National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-7816-5874","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147094597","display_name":"Hua Wang","orcid":"https://orcid.org/0000-0003-0586-7132","observed_orcids":["https://orcid.org/0000-0003-0586-7132"]},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Peng","raw_affiliation_strings":["Zhejiang Normal University, Jinhua, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-0586-7132","affiliations":[{"raw_affiliation_string":"Zhejiang Normal University, Jinhua, Zhejiang, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111404101","display_name":"Zheng Zheng","orcid":"https://orcid.org/0000-0002-5271-9215","observed_orcids":["https://orcid.org/0000-0002-5271-9215"]},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonglong Zheng","raw_affiliation_strings":["Zhejiang Normal University, Jinhua, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-5271-9215","affiliations":[{"raw_affiliation_string":"Zhejiang Normal University, Jinhua, Zhejiang, China","institution_ids":["https://openalex.org/I135237710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55468614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"766","last_page":"775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9653000235557556,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9653000235557556,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.005900000222027302,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.004999999888241291,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cross-modal-fusion","display_name":"cross-modal fusion","score":0.906000018119812},{"id":"https://openalex.org/keywords/knowledge-distillation","display_name":"knowledge distillation","score":0.7070000171661377},{"id":"https://openalex.org/keywords/thermal-infrared","display_name":"thermal infrared","score":0.34299999475479126},{"id":"https://openalex.org/keywords/background-suppression","display_name":"background suppression","score":0.7049999833106995},{"id":"https://openalex.org/keywords/drone-vehicle-detection","display_name":"drone vehicle detection","score":0.7720000147819519}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6996999979019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692300021648407},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.6470999717712402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6255999803543091},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6158000230789185},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5860999822616577},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.569599986076355},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5623000264167786},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5511999726295471},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5116000175476074},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5027999877929688},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3621000051498413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35499998927116394},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.34119999408721924},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C2778971668","wikidata":"https://www.wikidata.org/wiki/Q5510284","display_name":"Fusion rules","level":4,"score":0.29319998621940613},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2653999924659729},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.25119999051094055},{"id":"https://openalex.org/C53073257","wikidata":"https://www.wikidata.org/wiki/Q7075021","display_name":"Object-oriented design","level":3,"score":0.2506999969482422}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3767308.3835030","doi":"https://doi.org/10.1145/3767308.3835030","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3767308.3835030","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2608.11595","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.11595","pdf_url":"https://arxiv.org/pdf/2608.11595","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.2608.11595","doi":"https://doi.org/10.48550/arxiv.2608.11595","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.11595","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":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3767308.3835030","doi":"https://doi.org/10.1145/3767308.3835030","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3767308.3835030","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2601784814","display_name":null,"funder_award_id":"62272419","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G2624907594","display_name":null,"funder_award_id":"62272419","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3180783028","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u6cdb\u51fd\u6620\u5c04\u7684\u65e0\u76d1\u7763\u4e09\u7ef4\u5f62\u72b6\u9ad8\u6548\u7cbe\u51c6\u5339\u914d\u65b9\u6cd5\u7814\u7a76","funder_award_id":"LQK26F020003","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3261820286","display_name":null,"funder_award_id":"2024YFE0214000","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5336262188","display_name":null,"funder_award_id":"2024YFE0214000","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5724472631","display_name":null,"funder_award_id":"62402449","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G755162144","display_name":"\u9762\u5411\u590d\u6742\u79d1\u5b66\u95ee\u9898\u7684\u4eba\u5de5\u667a\u80fd\u5efa\u6a21\u4e0e\u63a8\u7406\u5173\u952e\u6280\u672f\u4e0e\u5e73\u53f0\u7814\u7a76","funder_award_id":"LD26F020003","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G8913174516","display_name":null,"funder_award_id":"2024-2-015","funder_id":"https://openalex.org/F4320324867","funder_display_name":"Jinhua Science and Technology Bureau"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324867","display_name":"Jinhua Science and Technology Bureau","ror":"https://ror.org/0347g4065"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7202356281.pdf","grobid_xml":"https://content.openalex.org/works/W7202356281.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W3036159734","https://openalex.org/W3036931590","https://openalex.org/W3207919963","https://openalex.org/W4302363373","https://openalex.org/W4396754494","https://openalex.org/W4400141695","https://openalex.org/W4402706078","https://openalex.org/W4403390534","https://openalex.org/W4406857986","https://openalex.org/W4408609701","https://openalex.org/W4410861041","https://openalex.org/W4413018164","https://openalex.org/W4413925614","https://openalex.org/W4414229361","https://openalex.org/W4414404889","https://openalex.org/W4415109451","https://openalex.org/W6893711219","https://openalex.org/W7169858737"],"related_works":["https://openalex.org/W7132820837","https://openalex.org/W4402468047","https://openalex.org/W7203717782","https://openalex.org/W7128422204","https://openalex.org/W7126171032","https://openalex.org/W7165110584","https://openalex.org/W7128905408","https://openalex.org/W4385880141","https://openalex.org/W7172492210","https://openalex.org/W7162128753"],"abstract_inverted_index":{"RGB-Thermal":[0],"(RGBT)":[1],"object":[2],"detection":[3],"enables":[4,92],"robust":[5],"perception":[6],"in":[7,84],"complex":[8],"scenes":[9],"by":[10],"leveraging":[11],"the":[12,40,50,69],"complementary":[13],"strengths":[14],"of":[15,42],"visible":[16],"textures":[17],"and":[18,38,118,127,137,150],"thermal":[19],"cues.":[20],"However,":[21],"existing":[22],"methods":[23],"mainly":[24],"rely":[25],"on":[26,134],"dense":[27,70],"cross-modal":[28,61,71,82],"interactions":[29],"over":[30],"full-resolution":[31],"features,":[32],"which":[33,109],"inevitably":[34],"introduce":[35],"background":[36],"interference":[37],"hinder":[39],"learning":[41],"target-relevant":[43,97],"representations.":[44],"In":[45],"this":[46,101],"paper,":[47],"we":[48,75,104],"propose":[49,105],"Prototype":[51,77],"HyperGraph":[52,78],"Fusion":[53,79],"Network":[54],"(ProtoHGF-Net),":[55],"a":[56,85],"novel":[57],"framework":[58],"that":[59,140],"redefines":[60],"fusion":[62,95,114],"as":[63],"prototype-level":[64,87,102],"semantic":[65,88],"interaction":[66,72,83],"rather":[67],"than":[68],"paradigm.":[73],"Specifically,":[74],"design":[76,91],"to":[80],"perform":[81],"compact":[86],"space.":[89],"This":[90,121],"more":[93,129],"selective":[94],"among":[96],"prototypes.":[98],"To":[99],"support":[100],"fusion,":[103],"Teacher-Mask":[106],"Calibration":[107],"Distillation,":[108],"calibrates":[110],"modality":[111],"features":[112],"before":[113],"using":[115],"modality-specific":[116],"teachers":[117],"target-aware":[119],"masks.":[120],"strategy":[122],"suppresses":[123],"backgrou-":[124],"nd-dominant":[125],"responses":[126],"produces":[128],"target-focused":[130],"features.":[131],"Extensive":[132],"experiments":[133],"DroneVehicle,":[135],"DVTOD,":[136],"FLIR":[138],"demonstrate":[139],"ProtoHGF-Net":[141],"achieves":[142],"state-of-the-art":[143],"performance":[144],"with":[145],"85.9%":[146],"mAP50,":[147,149],"88.2%":[148],"79.1%":[151],"mAP50":[152],"respectively.":[153],"Our":[154],"code":[155],"is":[156],"available":[157],"at":[158],"GitHub.":[159]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-14T00:00:00"}