IMAGE PROCESSING MODEL TRAINING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM
This application discloses a method, apparatus, device, and storage medium for training an image processing model, and relates to the field of artificial intelligence technologies. The method includes: obtaining a predicted recognition result of a first sample face image and first occlusion indicati...
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creator | QIU, Haibo LI, Zhifeng GONG, Dihong LIU, Wei |
description | This application discloses a method, apparatus, device, and storage medium for training an image processing model, and relates to the field of artificial intelligence technologies. The method includes: obtaining a predicted recognition result of a first sample face image and first occlusion indication information based on an image processing model, the first occlusion indication information being used for indicating an image feature of a face occlusion area of the first sample face image; obtaining a recognition error based on the predicted recognition result and a target recognition result corresponding to the first sample face image; obtaining a classification error based on the first occlusion indication information and a target occlusion pattern corresponding to the first sample face image, an occlusion pattern of the first sample face image being used for indicating a position and a size of the face occlusion area; and updating a model parameter of the image processing model according to the recognition error and the classification error. |
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The method includes: obtaining a predicted recognition result of a first sample face image and first occlusion indication information based on an image processing model, the first occlusion indication information being used for indicating an image feature of a face occlusion area of the first sample face image; obtaining a recognition error based on the predicted recognition result and a target recognition result corresponding to the first sample face image; obtaining a classification error based on the first occlusion indication information and a target occlusion pattern corresponding to the first sample face image, an occlusion pattern of the first sample face image being used for indicating a position and a size of the face occlusion area; and updating a model parameter of the image processing model according to the recognition error and the classification error.</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTING ; COUNTING ; PHYSICS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230621&DB=EPODOC&CC=EP&NR=4099217A4$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25562,76317</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230621&DB=EPODOC&CC=EP&NR=4099217A4$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>QIU, Haibo</creatorcontrib><creatorcontrib>LI, Zhifeng</creatorcontrib><creatorcontrib>GONG, Dihong</creatorcontrib><creatorcontrib>LIU, Wei</creatorcontrib><title>IMAGE PROCESSING MODEL TRAINING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM</title><description>This application discloses a method, apparatus, device, and storage medium for training an image processing model, and relates to the field of artificial intelligence technologies. The method includes: obtaining a predicted recognition result of a first sample face image and first occlusion indication information based on an image processing model, the first occlusion indication information being used for indicating an image feature of a face occlusion area of the first sample face image; obtaining a recognition error based on the predicted recognition result and a target recognition result corresponding to the first sample face image; obtaining a classification error based on the first occlusion indication information and a target occlusion pattern corresponding to the first sample face image, an occlusion pattern of the first sample face image being used for indicating a position and a size of the face occlusion area; and updating a model parameter of the image processing model according to the recognition error and the classification error.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZAjw9HV0d1UICPJ3dg0O9vRzV_D1d3H1UQgJcvT0A3NdQzz8XRQc_YA4IMAxyDEkNFhHwcU1zNPZVQcsHBziHwQyw9fVxTPUl4eBNS0xpziVF0pzMyi4uYY4e-imFuTHpxYXJCan5qWWxLsGmBhYWhoZmjuaGBOhBADpmi5I</recordid><startdate>20230621</startdate><enddate>20230621</enddate><creator>QIU, Haibo</creator><creator>LI, Zhifeng</creator><creator>GONG, Dihong</creator><creator>LIU, Wei</creator><scope>EVB</scope></search><sort><creationdate>20230621</creationdate><title>IMAGE PROCESSING MODEL TRAINING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM</title><author>QIU, Haibo ; LI, Zhifeng ; GONG, Dihong ; LIU, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP4099217A43</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>QIU, Haibo</creatorcontrib><creatorcontrib>LI, Zhifeng</creatorcontrib><creatorcontrib>GONG, Dihong</creatorcontrib><creatorcontrib>LIU, Wei</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>QIU, Haibo</au><au>LI, Zhifeng</au><au>GONG, Dihong</au><au>LIU, Wei</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>IMAGE PROCESSING MODEL TRAINING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM</title><date>2023-06-21</date><risdate>2023</risdate><abstract>This application discloses a method, apparatus, device, and storage medium for training an image processing model, and relates to the field of artificial intelligence technologies. The method includes: obtaining a predicted recognition result of a first sample face image and first occlusion indication information based on an image processing model, the first occlusion indication information being used for indicating an image feature of a face occlusion area of the first sample face image; obtaining a recognition error based on the predicted recognition result and a target recognition result corresponding to the first sample face image; obtaining a classification error based on the first occlusion indication information and a target occlusion pattern corresponding to the first sample face image, an occlusion pattern of the first sample face image being used for indicating a position and a size of the face occlusion area; and updating a model parameter of the image processing model according to the recognition error and the classification error.</abstract><oa>free_for_read</oa></addata></record> |
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language | eng ; fre ; ger |
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subjects | CALCULATING COMPUTING COUNTING PHYSICS |
title | IMAGE PROCESSING MODEL TRAINING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM |
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