Research on Recognition Effect of DSCN Network Structure in Hand-Drawn Sketch
With the rapid development of image recognition technology, freehand sketch recognition has attracted more and more attention. How to achieve good recognition effect in the absence of color and texture information is the key to the development of freehand sketch recognition. Traditional nonlearning...
Enregistré dans:
Auteur principal: | Qunjing Ji |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Hindawi Limited
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/85b8ac7eb6c849429693b0b0f302e18c |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Attentive 3D-Ghost Module for Dynamic Hand Gesture Recognition with Positive Knowledge Transfer
par: Jinghua Li, et autres
Publié: (2021) -
Assessing the accuracy of automatic speech recognition for psychotherapy
par: Adam S. Miner, et autres
Publié: (2020) -
Bayesian network-based missing mechanism identification (BN-MMI) method in medical research
par: Tingyan Yue, et autres
Publié: (2021) -
Bias and privacy in AI's cough-based COVID-19 recognition
par: Humberto Perez-Espinosa, et autres
Publié: (2021) -
Multitask Interactive Attention Learning Model Based on Hand Images for Assisting Chinese Medicine in Predicting Myocardial Infarction
par: Qida Wang, et autres
Publié: (2021)