Jan 11, 2021 · ABSTRACT. Luggage re-identification based on the image recognition is a highly demanding task for security check. The final result of testing ...
ABSTRACT. Luggage re-identification based on the image recognition is a highly demanding task for security check. The final result of testing model of using ...
This new algorithm has been tested extensively on 15 benchmark problems of machine learning and neural networks. Experimental results show that HSST can produce ...
Bibliographic details on A Model for Luggage Re-identification Based on the Network Ensemble.
This paper proposed a new Siamese Neural Network-based model able to perform an efficient baggage re-identification in an airport baggage handling system.
In this paper, a novel QuadNet is proposed to solve the multi-view problem in baggage ReID at three levels. At the sample level, we propose a multi-view ...
Missing: Luggage | Show results with:Luggage
Feb 5, 2024 · The first is to use the characteristics of the multi-branch network structure of person re-identification to dig out the most effective online ...
Missing: Luggage | Show results with:Luggage
An end-to-end ensemble learning method is proposed to address the overfitting problem in discriminative person ReID models.
Missing: Luggage | Show results with:Luggage
Oct 3, 2020 · We propose an end-to-end ensemble method for person re-identification (ReID) to address the problem of overfitting in discriminative models.
Model ensemble. Model ensemble is proven to be ef- fective in detection, classification, and Re-ID tasks. Dif- ferent tasks have different ensemble methods.
Missing: Luggage | Show results with:Luggage