Object feature extraction for YOLO detectors
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Date
2023
Authors
Абашкін, Олександр
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Abstract
The main goal of the research: To create an architecture that can surpass in quality and speed the solutions of that time such as the deformable part models (DPM) that were using the sliding window approach where the classifier is used
for each evenly spaced location, and a the R-CNN that were using a network for generation potential bounding boxes and as a second stage applies a classifier on this regions.
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Keywords
YOLO architecture, Batch Normalization, High-Resolution Classifier, MobileNetV1, магістерська робота