Andrii Polukhin

Our paper “Depth-Assisted Sparse Visual Odometry for UAV-Relevant Synthetic RGB-D Evaluation: A Controlled Geometric-Backend Ablation” is now published in Robotics.

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The development of Object Detection algorithms has come a long way, starting with early computer vision and reaching a high level of accuracy through deep learning.

A robot sitting next to a human in an office, trending on artstation, beautiful coloring, 4k, vibrant, blue and yellow, by DreamStudio Introduction Everyone knows about the ChatGPT.

This post will visually describe the problem of understanding of such concepts as Accuracy, Precision, Recall, F1-Score, ROC Curve, and AUC, which are part of the development of any classification, detection, segmentation, etc. tasks in machine learning.

As the field of Deep Learning continues to grow, the demand for efficient and lightweight neural networks becomes increasingly important.

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