In this paper, we propose to extract robust video descriptor by training deep neural network to automatically capture the intrinsic visual characteristics ...

In this paper, we propose to extract robust video descriptor by training deep neural network to automatically capture the intrinsic visual characteristics ...

Robust and compact video descriptor learned by deep neural network. Authors: Yue Nan Li, Xue Piao Chen, Tianjin University, China. ©2024 IEEE. Last updated ...

Nov 28, 2022 · We focus here on robustness in deep learning and the use of deep neural networks for computer vision tasks. In the most general form, we ...

In this paper, a robust video zero-watermarking scheme for copyright protection using a combination of convolutional neural network (CNN) and self-organizing ...

Robust machine learning typically refers to the robustness of machine learning algorithms. For a machine learning algorithm to be considered robust, ...

Summary of ten useful deep learning techniques + one validation technique for effectively analysing small datasets. No. corresponds to the subsection number in ...

Paper Title: Robust and compact video descriptor learned by deep neural network ; Authors: Yue Nan Li; Tianjin University.

These methods leverage CNNs to extract more robust and discriminative keypoint descriptors, resulting in significant progress in handling large viewpoint ...

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