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RARE INSTANCE CLASSIFIERS
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Title:
RARE INSTANCE CLASSIFIERS
Author:
LO, WAN-YEN
;
OGALE, ABHIJIT
;
GAO, YANG
Subjects:
CALCULATING
;
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
;
COMPUTING
;
COUNTING
;
PHYSICS
Description:
In some implementations, an image classification system of an autonomous or semi-autonomous vehicle is capable of improving multi-object classification by reducing repeated incorrect classification of objects that are considered rarely occurring objects. The system can include a common instance classifier that is trained to identify and recognize general objects (e.g., commonly occurring objects and rarely occurring objects) as belonging to specified object categories, and a rare instance classifier that is trained to compute one or more rarity scores representing likelihoods that an input image is correctly classified by the common instance classifier. The output of the rare instance classifier can be used to adjust the classification output of the common instance classifier such that the likelihood of input images being incorrectly classified is reduced. Dans certains modes de réalisation, un système de classification d'images d'un véhicule autonome ou semi-autonome est capable d'améliorer la classification d'objets multiples en réduisant la classification incorrecte répétée d'objets qui sont considérés comme des objets apparaissant rarement. Le système peut comprendre un classificateur d'instances courantes, qui est entraîné pour identifier et reconnaître des objets généraux (par exemple, des objets apparaissant couramment et des objets apparaissant rarement) comme appartenant à des catégories d'objets spécifiées, et un classificateur d'instances rares qui est entraîné pour calculer un ou plusieurs scores de rareté représentant des probabilités qu'une image d'entrée soit classée correctement par le classificateur d'instances courantes. Le résultat du classificateur d'instances rares peut être utilisé pour régler la sortie de classification du classificateur d'instances courantes afin de réduire la probabilité que des images d'entrée soient classées incorrectement.
Creation Date:
2022
Language:
English;French
Source:
esp@cenet
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