Image similarity using Deep CNN and Curriculum Learning

由 S Appalaraju 著作 · 2017 · 被引用 93 次 — Image similarity involves fetching similar looking images given a reference image. Our solution called SimNet, is a deep. Siamese network which is trained ...

2021年12月9日 — An image similar search or reverse image search is a Deep CNN model which identifies the top N similar images from a given image based on the ...

A features vector was extracted for each image, then the latter compared with cosine similarity. It computes the cosine of the angle between both features ...

Image similarity is a task mostly about feature selection of the image. Here, the Convolutional Neural Network (CNN) is used to extract features of these images ...

2023年2月19日 — VGG16 is a powerful pretrained model that can be used for identifying similarities between images. By using this model, we can extract ...

2023年3月17日 — The approach looks to extract an image feature embedding created by a neural network, and compare these to assess the similarity of two images.

2022年4月12日 — We can use machine learning to return meaningful similar images, text, or audio in the proper context. Simple, and fast. Sascha Heyer.

由 H Alshowaish 著作 · 2022 · 被引用 15 次 — We investigated the use of convolutional neural network (CNN) to extract image features. Two pre-trained CNNs were utilized individually as features extractors: ...

由 F Zhu 著作 · 2023 · 被引用 10 次 — In this study, we proposed a similarity-based local attention model and embedded it into a multi-scale CNN for 3D medical image registration. The designed ...