{"id":"https://openalex.org/W6968167041","doi":"https://doi.org/10.5281/zenodo.15486832","title":"Datasets, Models, and Experimental Results of DehazeSNN: a U-Net-Like Spiking Neural Networks for Single Image Dehazing","display_name":"Datasets, Models, and Experimental Results of DehazeSNN: a U-Net-Like Spiking Neural Networks for Single Image Dehazing","publication_year":2025,"publication_date":"2025-05-22","ids":{"openalex":"https://openalex.org/W6968167041","doi":"https://doi.org/10.5281/zenodo.15486832"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.15486832","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15486832","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.15486832","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Liu, Haoran","orcid":"https://orcid.org/0000-0003-0729-4526"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Haoran","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-0729-4526","affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Li, Huibin","orcid":"https://orcid.org/0009-0007-2528-4408"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Huibin","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0007-2528-4408","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7378000020980835},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.7057999968528748},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5644999742507935},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5551000237464905},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5199000239372253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47749999165534973},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.33230000734329224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8424999713897705},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7378000020980835},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.7057999968528748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6118000149726868},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5644999742507935},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5551000237464905},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5199000239372253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47749999165534973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34700000286102295},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3018999993801117},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2797999978065491},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2782999873161316},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26809999346733093}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.15486832","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15486832","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.15486832","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.15486832","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"score":0.5151599049568176,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"DehazeSNN":[0,33,49,67],"is":[1,115],"a":[2,9],"novel":[3],"image":[4],"dehazing":[5],"framework":[6],"that":[7,48],"combines":[8],"U-Net-like":[10],"architecture":[11],"with":[12,56],"Spiking":[13],"Neural":[14],"Networks":[15],"(SNNs)":[16],"to":[17],"address":[18],"limitations":[19],"in":[20,71],"existing":[21],"CNN-":[22],"and":[23,38,59,74,83,89,106,124],"Transformer-based":[24],"methods.":[25],"By":[26],"introducing":[27],"the":[28,66,102,110,118],"Orthogonal":[29],"Leaky-Integrate-and-Fire":[30],"Block":[31],"(OLIFBlock),":[32],"effectively":[34],"captures":[35],"both":[36],"local":[37],"long-range":[39],"dependencies":[40],"while":[41],"reducing":[42],"computational":[43,61],"complexity.":[44],"Extensive":[45],"evaluations":[46],"demonstrate":[47],"achieves":[50],"competitive":[51],"performance":[52,95],"on":[53,85],"standard":[54],"benchmarks":[55],"fewer":[57],"parameters":[58],"lower":[60],"costs.":[62],"This":[63],"dataset":[64,114],"supports":[65],"paper":[68],"(to":[69],"appear":[70],"IJCNN":[72],"2025)":[73],"includes":[75],"experimental":[76],"results":[77,100],"for":[78],"two":[79],"model":[80],"variants":[81],"(L":[82],"M)":[84],"RESIDE-6K,":[86],"RESIDE-Indoor,":[87],"RESIDE-Outdoor,":[88],"RS-Haze.":[90],"It":[91],"provides":[92],"training":[93],"logs,":[94],"metrics":[96],"(loss,":[97],"PSNR),":[98],"validation":[99],"from":[101,109],"last":[103],"20":[104],"epochs,":[105],"detailed":[107],"outputs":[108],"best-performing":[111],"models.":[112],"The":[113],"released":[116],"under":[117],"CC":[119],"BY":[120],"4.0":[121],"license.":[122],"Code":[123],"models":[125],"are":[126],"available":[127],"at:":[128],"https://github.com/HaoranLiu507/DehazeSNN.":[129]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}