{"id":"https://openalex.org/W4389474677","doi":"https://doi.org/10.1109/mmsp59012.2023.10337695","title":"Salient Object Detection on 360\u00b0 Omnidirectional Image with Bi-Branch Hybrid Projection Network","display_name":"Salient Object Detection on 360\u00b0 Omnidirectional Image with Bi-Branch Hybrid Projection Network","publication_year":2023,"publication_date":"2023-09-27","ids":{"openalex":"https://openalex.org/W4389474677","doi":"https://doi.org/10.1109/mmsp59012.2023.10337695"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp59012.2023.10337695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp59012.2023.10337695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","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/A5064042019","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0001-7886-5053"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen Univesity,Shenzhen,China","College of Computer Science and Software Engineering, Shenzhen Univesity, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen Univesity,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen Univesity, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055435177","display_name":"Qiudan Zhang","orcid":"https://orcid.org/0000-0001-6067-8188"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiudan Zhang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen Univesity,Shenzhen,China","College of Computer Science and Software Engineering, Shenzhen Univesity, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen Univesity,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen Univesity, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112864396","display_name":"Shen Xuelin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelin Shen","raw_affiliation_strings":["Guangdong Laboratory of Artificial Intelligence and Digital Economy,Shenzhen,China","Guangdong Laboratory of Artificial Intelligence and Digital Economy, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100407860","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0002-2948-6468"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Wang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen Univesity,Shenzhen,China","College of Computer Science and Software Engineering, Shenzhen Univesity, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen Univesity,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen Univesity, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064042019"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.2456,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54757644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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":0.9922999739646912,"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":0.9904000163078308,"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/computer-science","display_name":"Computer science","score":0.7804071307182312},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.7627153396606445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7097933292388916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7059394717216492},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6356167793273926},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.595765233039856},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5803940892219543},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45503637194633484},{"id":"https://openalex.org/keywords/orthographic-projection","display_name":"Orthographic projection","score":0.4355200529098511},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33255741000175476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1208181381225586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804071307182312},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.7627153396606445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7097933292388916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7059394717216492},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6356167793273926},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.595765233039856},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5803940892219543},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45503637194633484},{"id":"https://openalex.org/C175694140","wikidata":"https://www.wikidata.org/wiki/Q980329","display_name":"Orthographic projection","level":2,"score":0.4355200529098511},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33255741000175476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1208181381225586},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp59012.2023.10337695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp59012.2023.10337695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1982075130","https://openalex.org/W1994922096","https://openalex.org/W2100470808","https://openalex.org/W2194775991","https://openalex.org/W2752782242","https://openalex.org/W2884555738","https://openalex.org/W2939217524","https://openalex.org/W2963112696","https://openalex.org/W2963163009","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W2997316506","https://openalex.org/W2998213057","https://openalex.org/W2998449272","https://openalex.org/W3022015146","https://openalex.org/W3087221416","https://openalex.org/W3090469840","https://openalex.org/W3113755791","https://openalex.org/W3120113457","https://openalex.org/W3126573238","https://openalex.org/W3131795671","https://openalex.org/W3215974962","https://openalex.org/W4283806547","https://openalex.org/W4313174897"],"related_works":["https://openalex.org/W240272210","https://openalex.org/W4388913932","https://openalex.org/W4309130263","https://openalex.org/W4239527082","https://openalex.org/W2138022083","https://openalex.org/W2372186565","https://openalex.org/W2089645512","https://openalex.org/W2379343790","https://openalex.org/W2359967926","https://openalex.org/W2355137669"],"abstract_inverted_index":{"With":[0],"the":[1,21,77,81,87,122,132,137,150],"advent":[2],"of":[3,24,42,80],"panoramic":[4],"cameras,":[5],"modeling":[6],"saliency":[7,26,134],"in":[8,56,154],"360\u00b0":[9,25,57,138],"omnidirectional":[10,58,82,139],"images":[11],"becomes":[12],"very":[13],"urgent":[14],"and":[15,46,64,91,106,124,129],"challenging.":[16],"However,":[17],"severe":[18],"distortions":[19],"limit":[20],"prediction":[22,116],"accuracy":[23],"model.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31,94],"devise":[32],"a":[33,65,72,96,114],"bi-branch":[34,73],"hybrid":[35,97],"projection":[36,44,49,98],"network":[37,74],"(HPNet),":[38],"which":[39],"exploits":[40],"characteristics":[41],"equirectangular":[43],"(ERP)":[45],"cubic":[47],"map":[48,135],"(CMP)":[50],"formats":[51],"to":[52,75,85,102,120,149],"predict":[53],"salient":[54,126],"objects":[55,127],"images.":[59],"Specifically,":[60],"an":[61],"ERP":[62,90,107],"image":[63,67],"CMP":[66,92,105],"are":[68],"first":[69],"fed":[70],"into":[71],"aggregate":[76],"comprehensive":[78],"features":[79,108,123],"image.":[83,140],"Subsequently,":[84],"explore":[86],"coherence":[88],"among":[89],"images,":[93],"design":[95],"feature":[99],"fusion":[100],"module":[101,117],"efficiently":[103],"combine":[104],"extracted":[109],"from":[110],"different":[111],"layers.":[112],"Ultimately,":[113],"progressive":[115],"is":[118,147],"developed":[119],"refine":[121],"locate":[125],"incrementally,":[128],"then":[130],"produce":[131],"final":[133],"for":[136],"Experimental":[141],"results":[142],"illustrate":[143],"that":[144],"our":[145],"model":[146],"superior":[148],"existing":[151],"advanced":[152],"methods":[153],"two":[155],"publicly":[156],"available":[157],"datasets.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
