57 天前 - … offer strong image representation learning … Contentbased remote sensing image
retrieval (RSIR) uses remote sensing image (RSI) content to search and identify target images …

84 天前 - … image retrieval extends content-based image retrieval … ambiguity, which impedes
robust feature extraction. Triplet ambiguity … It is mainly due to the limited representation of the …

86 天前 - … Image-text retrieval systems play a pivotal role in various applications such as
content-based image retrieval, … feature representation, crossmodal fusion, and adversarial …

105 天前 - … feature representations learned by a pre-trained CNN, our framework aims to enhance
the retrieval accuracy and robustness… Content based image retrieval using deep learning …

196 天前 - … -hiding systems, content-based image retrieval and privacy… color image into a pseudo
grayscale image representation … This section presents robustness analysis of PE methods …

229 天前 - … Feature representation: The extracted features must be … , and content-based image
retrieval, and can be extended to … Overall, the project gives a strong base for future research …

230 天前 - … reliable and effective medical image retrieval system. Endoscopic colored images
have a single mode of representation … New techniques for content-based image retrieval are …

258 天前 - … Content-based medical image retrieval (CBMIR) systems can assist and help doctors
and radiologists in reliable diagnosis by retrieving … For instance, feature representations …

318 天前 - … In data science and content-based retrieval, we find many … ) became the standard
and reliable choice. The purpose of … For example, in content-based image retrieval, the user …

350 天前 - … with a strong emphasis on real-… representations for further analysis. After the
extraction of keyframes, the relatively smaller dataset allows for content-based image retrieval (…