ZA202206681B - A facial expression recognition method based on deep spatiotemporal features - Google Patents

A facial expression recognition method based on deep spatiotemporal features

Info

Publication number
ZA202206681B
ZA202206681B ZA2022/06681A ZA202206681A ZA202206681B ZA 202206681 B ZA202206681 B ZA 202206681B ZA 2022/06681 A ZA2022/06681 A ZA 2022/06681A ZA 202206681 A ZA202206681 A ZA 202206681A ZA 202206681 B ZA202206681 B ZA 202206681B
Authority
ZA
South Africa
Prior art keywords
method based
recognition method
facial expression
expression recognition
spatiotemporal features
Prior art date
Application number
ZA2022/06681A
Inventor
Tao Dong
Peiyang Zhang
Original Assignee
Univ Southwest
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Univ Southwest filed Critical Univ Southwest
Priority to ZA2022/06681A priority Critical patent/ZA202206681B/en
Publication of ZA202206681B publication Critical patent/ZA202206681B/en

Links

ZA2022/06681A 2022-06-17 2022-06-17 A facial expression recognition method based on deep spatiotemporal features ZA202206681B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
ZA2022/06681A ZA202206681B (en) 2022-06-17 2022-06-17 A facial expression recognition method based on deep spatiotemporal features

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
ZA2022/06681A ZA202206681B (en) 2022-06-17 2022-06-17 A facial expression recognition method based on deep spatiotemporal features

Publications (1)

Publication Number Publication Date
ZA202206681B true ZA202206681B (en) 2022-08-31

Family

ID=83103311

Family Applications (1)

Application Number Title Priority Date Filing Date
ZA2022/06681A ZA202206681B (en) 2022-06-17 2022-06-17 A facial expression recognition method based on deep spatiotemporal features

Country Status (1)

Country Link
ZA (1) ZA202206681B (en)

Similar Documents

Publication Publication Date Title
EP4160475A4 (en) Facial recognition method and apparatus
EP3926623A4 (en) Speech recognition method and apparatus, and neural network training method and apparatus
SG11202107826QA (en) Facial recognition method and apparatus
EP3721380A4 (en) Method and system for facial recognition
EP4075324A4 (en) Face recognition method and face recognition device
EP4131064A4 (en) Gesture recognition method and related apparatus
ZA202212046B (en) Palmprint recognition method based on fusion depth network
GB2616322B (en) Computer vision-based dynamic bridge shape recognition method
EP4156002A4 (en) Facial recognition method and apparatus
EP4254137A4 (en) Gesture recognition method and apparatus
EP4273855A4 (en) Speech recognition method and apparatus, and storage medium
EP3839806A4 (en) Facial recognition method, facial recognition system, and electronic device
GB202314335D0 (en) Method for video action recognition
ZA202206681B (en) A facial expression recognition method based on deep spatiotemporal features
GB202403110D0 (en) Facial expression recognition method based on multi-level and mlti-scale attention mechanism
EP4310837A4 (en) Methods for constructing speech recognition model and processing speech, and system
EP4293664A4 (en) Voiceprint recognition method, graphical interface, and electronic device
KR102458783B9 (en) Generalized zero-shot object recognition device and generalized zero-shot object recognizing method
ZA202301561B (en) A visual scene recognition method based on deep learning
AU2003292317A1 (en) Method for identification of a person by recognition of a digital fingerprint
ZA202208251B (en) Note recognition method based on deep learning
EP4250285A4 (en) Speech recognition method and apparatus
PL4118257T3 (en) Method for passivating a tinplate strip and apparatus for producing said passivated tinplate strip
GB2572222B (en) A speech recognition method and apparatus
GB202404148D0 (en) Facial expression recognition method based on attention mechanism and self-distillation