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Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding
In this paper we provide an extensive evaluation of these losses applied to vehicle re-identification and demonstrate that using the best practices for learning embeddings outperform most of the previous approaches proposed in the vehicle re-identification literature.
Deep Learning in the Automotive Industry: Applications and Tools
In this paper, we describe different automotive uses cases for deep learning in particular in the domain of computer vision.
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