{"id":"https://openalex.org/W4402353465","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650154","title":"Integrating Semantic Segmentation Model for Self-Supervised Scene Flow Estimation via Cross Task Distillation","display_name":"Integrating Semantic Segmentation Model for Self-Supervised Scene Flow Estimation via Cross Task Distillation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353465","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650154"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650154","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000312477","display_name":"Bayram Bayramli","orcid":"https://orcid.org/0000-0002-1553-932X"},"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":"Bayram Bayramli","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688231","display_name":"Yue Ding","orcid":"https://orcid.org/0000-0002-2911-1244"},"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":"Yue Ding","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102899381","display_name":"Hongtao Lu","orcid":"https://orcid.org/0000-0003-2300-3039"},"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":"Hongtao Lu","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"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":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9966999888420105,"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":0.9966999888420105,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9909999966621399,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7619760036468506},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7180104851722717},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6733437776565552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5889121890068054},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5287808179855347},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5071511268615723},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4807124435901642},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46169552206993103},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4232717752456665},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38072118163108826},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3436163663864136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34150230884552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09968370199203491},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08265256881713867}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7619760036468506},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7180104851722717},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6733437776565552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5889121890068054},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5287808179855347},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5071511268615723},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4807124435901642},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46169552206993103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4232717752456665},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38072118163108826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3436163663864136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34150230884552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09968370199203491},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08265256881713867},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650154","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1508115313","https://openalex.org/W1968545482","https://openalex.org/W2115579991","https://openalex.org/W2129671742","https://openalex.org/W2133665775","https://openalex.org/W2520707372","https://openalex.org/W2890949887","https://openalex.org/W2905536983","https://openalex.org/W2948647700","https://openalex.org/W2962771259","https://openalex.org/W2963265330","https://openalex.org/W2963583471","https://openalex.org/W2963782415","https://openalex.org/W2964968086","https://openalex.org/W2971686478","https://openalex.org/W2981518351","https://openalex.org/W2981732213","https://openalex.org/W2985775862","https://openalex.org/W2987809065","https://openalex.org/W3014263713","https://openalex.org/W3034368386","https://openalex.org/W3034642839","https://openalex.org/W3035099063","https://openalex.org/W3047385447","https://openalex.org/W3097139398","https://openalex.org/W3109908659","https://openalex.org/W3118942022","https://openalex.org/W3138154797","https://openalex.org/W3173561529","https://openalex.org/W3174581459","https://openalex.org/W3181108287","https://openalex.org/W3203943632","https://openalex.org/W3204559841","https://openalex.org/W4287863801","https://openalex.org/W4381930141","https://openalex.org/W6631190155","https://openalex.org/W6685261749","https://openalex.org/W6739778489","https://openalex.org/W6739901393","https://openalex.org/W6771531989"],"related_works":["https://openalex.org/W3026162553","https://openalex.org/W2576994247","https://openalex.org/W2608353378","https://openalex.org/W2768175398","https://openalex.org/W2344382886","https://openalex.org/W19111321","https://openalex.org/W4249206767","https://openalex.org/W4379231730","https://openalex.org/W2412887479","https://openalex.org/W1522196789"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,44,50,134],"self-supervised":[4,155],"learning":[5],"approach":[6],"for":[7],"monocular":[8],"scene":[9,58,90,113,120,156],"flow":[10,59,91,121,157],"estimation,":[11],"addressing":[12],"challenges":[13],"posed":[14],"by":[15],"the":[16,30,57,84,89,94,106,128,138,152],"reliance":[17],"on":[18],"expensive":[19],"3D":[20],"sensing":[21],"technologies":[22],"such":[23],"as":[24,49],"Lidar":[25],"and":[26,29,118,124],"RGB-D":[27],"cameras":[28],"scarcity":[31],"of":[32,97,102,108,130],"datasets":[33],"with":[34,68],"ground":[35],"truth":[36],"labels.":[37],"Our":[38],"method":[39],"utilizes":[40],"cross-task":[41],"distillation,":[42],"where":[43],"semantic":[45,85],"segmentation":[46,86],"network":[47,87],"serves":[48],"teacher":[51],"to":[52,56,88,111,116,143,151],"impart":[53],"valuable":[54],"information":[55,64],"network.":[60,77],"To":[61],"facilitate":[62],"effective":[63],"exchange":[65],"between":[66],"tasks":[67],"inherent":[69],"differences,":[70],"we":[71,79],"incorporate":[72],"self-attention":[73,81,103],"blocks":[74],"within":[75],"each":[76],"Specifically,":[78],"transfer":[80],"weights":[82],"from":[83,141],"network,":[92],"aligning":[93],"attention":[95],"probabilities":[96],"both":[98],"networks.":[99],"The":[100],"integration":[101],"mechanisms":[104],"enhances":[105],"adaptability":[107],"our":[109,131],"framework":[110],"complex":[112],"structures,":[114],"contributing":[115],"robust":[117],"accurate":[119],"estimation.":[122],"Quantitative":[123],"qualitative":[125],"experiments":[126],"validate":[127],"efficacy":[129],"approach,":[132],"demonstrating":[133],"significant":[135],"reduction":[136],"in":[137],"error":[139],"metric":[140],"30.97%":[142],"28.50%,":[144],"representing":[145],"an":[146],"approximate":[147],"8%":[148],"improvement":[149],"compared":[150],"best-performing":[153],"existing":[154],"method.":[158]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
