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Models are tested using a large scale trademark dataset in contrast with the previously proposed solutions, and their failure points are discussed in this study ...
Many well-known Convolutional Neural Network models are applied to the trademark retrieval problem, and solutions such as fine-tuning, distance metric ...
Analyzing Deep Features for Trademark Retrieval. Cemal Aker, Osman Tursun, Sinan Kalkan. Kovan Arastırma Laboratuvarı, Bilgisayar Mühendisli˘gi Bölümü, Orta ...
Existing studies based on hand-crafted features show unsatisfying performance. Taking the popularization and increasing success of the deep learning methods ...
Jun 7, 2017 · This paper introduces a bilinear CNN-based model for the first time in the context of Content-Based Image Retrieval (CBIR). The proposed ...
This research integrates two deep learning models to achieve the research goal. The first is the logo detection and localization model for cropping trademark ...
Nov 19, 2024 · Many manually created feature descriptors, such as shape, texture, color, are first extracted based on the visual signals that characterize the ...
In this paper, we proposed a method based on deep learning for trademark retrieval. Faster R-CNN was first applied to trademark retrieval. The global feature ...
The existing trademark image retrieval (TIR) approaches mostly use complex image features, the integration of multi features, a tree structure, etc. to enable ...
Mar 10, 2021 · In this work, we present the advances in the construction of a trademark image retrieval system using machine learning techniques.
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