Quickly identify object in many camera views using tree of neural nets
Quickly identify object in many camera views using tree of neural nets
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks
arXiv paper abstract https://arxiv.org/abs/2106.10588v1
arXiv PDF paper https://arxiv.org/pdf/2106.10588v1.pdf
GitHub https://github.com/abhinavgoel95/Object-ReID-Hierarchical-Neural-Networks
… This paper describes a low-power technique for the object re-identification (reID) problem: matching a query image against a gallery of previously seen images.
… propose a novel hierarchical DNN architecture that uses attribute labels in the training dataset to perform efficient object reID.
… The small DNN at each leaf node is specialized to re-identify … only the images with the attributes identified
… With a 4% loss in accuracy, our approach realizes significant resource savings: 74% less memory, 72% fewer operations, and 67% lower query latency, yielding 65% less energy consumption.
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