Target detection method and system based on improved DAB-DETR
The invention discloses an improved DAB-DETR-based target detection method and system, which is improved based on a DAB-DETR structure, develops two training designs on the basis of not changing an original structure, and effectively solves the problems of redundancy prediction between queries and m...
Saved in:
Main Authors | , |
---|---|
Format | Patent |
Language | Chinese English |
Published |
12.04.2024
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | The invention discloses an improved DAB-DETR-based target detection method and system, which is improved based on a DAB-DETR structure, develops two training designs on the basis of not changing an original structure, and effectively solves the problems of redundancy prediction between queries and misalignment between classification confidence and positioning precision. Specifically, a query-aware region constraint is proposed, and unnecessary internal conflicts between queries are avoided by limiting the responsibility region of each query. Then, a classification loss of position modulation is introduced, and the correlation between the classification confidence and the positioning precision is enhanced to encourage the model to generate the classification confidence to align with the prediction of the positioning precision. The provided two designs greatly improve the convergence speed and detection precision of the DAB-DETR, do not increase the parameter quantity and calculation cost of the model, can be e |
---|---|
AbstractList | The invention discloses an improved DAB-DETR-based target detection method and system, which is improved based on a DAB-DETR structure, develops two training designs on the basis of not changing an original structure, and effectively solves the problems of redundancy prediction between queries and misalignment between classification confidence and positioning precision. Specifically, a query-aware region constraint is proposed, and unnecessary internal conflicts between queries are avoided by limiting the responsibility region of each query. Then, a classification loss of position modulation is introduced, and the correlation between the classification confidence and the positioning precision is enhanced to encourage the model to generate the classification confidence to align with the prediction of the positioning precision. The provided two designs greatly improve the convergence speed and detection precision of the DAB-DETR, do not increase the parameter quantity and calculation cost of the model, can be e |
Author | KATSURAHIKO ZHANG CHUANG |
Author_xml | – fullname: ZHANG CHUANG – fullname: KATSURAHIKO |
BookMark | eNrjYmDJy89L5WSwDUksSk8tUUhJLUlNLsnMz1PITS3JyE9RSMxLUSiuLC5JzVVISixOTVEASmXmFhTllwHZLo5Oui6uIUE8DKxpiTnFqbxQmptB0c01xNlDN7UgPz61uCAxOTUvtSTe2c_Q0NzC3Mzc3NTRmBg1AMZtMOg |
ContentType | Patent |
DBID | EVB |
DatabaseName | esp@cenet |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: EVB name: esp@cenet url: http://worldwide.espacenet.com/singleLineSearch?locale=en_EP sourceTypes: Open Access Repository |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine Chemistry Sciences Physics |
DocumentTitleAlternate | 一种基于改进DAB-DETR的目标检测方法及系统 |
ExternalDocumentID | CN117876775A |
GroupedDBID | EVB |
ID | FETCH-epo_espacenet_CN117876775A3 |
IEDL.DBID | EVB |
IngestDate | Fri Aug 02 08:55:01 EDT 2024 |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | false |
Language | Chinese English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-epo_espacenet_CN117876775A3 |
Notes | Application Number: CN202410049017 |
OpenAccessLink | https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240412&DB=EPODOC&CC=CN&NR=117876775A |
ParticipantIDs | epo_espacenet_CN117876775A |
PublicationCentury | 2000 |
PublicationDate | 20240412 |
PublicationDateYYYYMMDD | 2024-04-12 |
PublicationDate_xml | – month: 04 year: 2024 text: 20240412 day: 12 |
PublicationDecade | 2020 |
PublicationYear | 2024 |
RelatedCompanies | CHANGSHA UNIVERSITY OF SCIENCE & TECHNOLOGY |
RelatedCompanies_xml | – name: CHANGSHA UNIVERSITY OF SCIENCE & TECHNOLOGY |
Score | 3.6707137 |
Snippet | The invention discloses an improved DAB-DETR-based target detection method and system, which is improved based on a DAB-DETR structure, develops two training... |
SourceID | epo |
SourceType | Open Access Repository |
SubjectTerms | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
Title | Target detection method and system based on improved DAB-DETR |
URI | https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240412&DB=EPODOC&locale=&CC=CN&NR=117876775A |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3dS8MwED_m_HzTquj8IIL0LWi_VvtQZE1bhrBujCp7G-3S4Hzohq0I_vVess75om8hByFfl1_ucvcLwK18iRK4uFR6-KnNhUU9vOrTXAjTzIyMe5ZMTh4k3f6z_TRxJi14W-fCKJ7QT0WOiBo1Q32v1Xm93DixQhVbWd3lc6xaPMapH-qNdYzwZBumHgZ-NBqGQ6Yz5rNET8a-YeDO7Lqu09uCbXmNljz70Usgs1KWvyElPoSdEbZW1kfQ-nrVYJ-tf17TYG_QPHhrsKsiNGcVVjZaWB0DmtnSj014UatAqpKs_oEmWcnJipqZSHTiBEVz5TXActgLaBil4xO4iaOU9Sn2aPoz_ClLNp23TqFdLsriDIhTCGFxz-Uuf7CzYpZ7Qti5uBeuaxWITOfQ-budzn_CCziQU0kVo-EltOv3j-IKobfOr9WcfQNupYeJ |
link.rule.ids | 230,309,786,891,25594,76906 |
linkProvider | European Patent Office |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LTwIxEJ4gPvCmqFF81cTsrdF9QN3DxkB3CSoshKyGG9ndbiMeFiJrTPz1TguIF701naTpa_p1pjNfAa7VS5TExaXKw08dIW3q4lWfJlJaVmzGwrVVcnIvbHSencdRfVSCt1UujOYJ_dTkiKhRKep7oc_r2dqJ5evYyvlNMsGq6X078nxjaR0jPDmmZfgtLxj0_T43OPd4aIRDzzRxZzYYqzc3YJMpdl51dXppqayU2W9Iae_B1gBby4t9KH29VqHCVz-vVWGnt3zwrsK2jtBM51i51ML5AaCZrfzYRGSFDqTKyeIfaBLngiyomYlCJ0FQNNFeAyz7zRb1g2h4CFftIOIdij0a_wx_zMN15-0jKOfTPDsGUs-ktIXLBBN3TpyliSulk8hbyZidITKdQO3vdmr_CS-h0ol63XH3IXw6hV01rVSzG55BuXj_yM4RhovkQs_fN-4oinY |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Apatent&rft.title=Target+detection+method+and+system+based+on+improved+DAB-DETR&rft.inventor=ZHANG+CHUANG&rft.inventor=KATSURAHIKO&rft.date=2024-04-12&rft.externalDBID=A&rft.externalDocID=CN117876775A |