Siamese network features for image matching

By Iaroslav Melekhov, Juho Kannala, Esa Rahtu. International Conference on Pattern Recognition, 2016

331 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/e6d6203fa911429d76f026e2ec2de260ec520432

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Shiv Ram Dubey

In Computer Vision and Pattern Recognition

1. Yu-Ho Su
2. Zai Huang
3. Enhong Chen
4. Chuanren Liu
5. Zhenya Huang
6. Shiv Ram Dubey
7. Guoping Hu
8. Qi Liu

Citations in the corpus

• A Decade Survey of Content Based Image Retrieval Using Deep Learning (2020, background): “The siamese is type of neural network [154] that aims to minimize the distance between features of similar images and maximize the distance between features of dissimilar images as depicted in Fig.”
• Finding Similar Exercises in Online Education Systems (2018, background): “Modeling exercise pairs is relevant to many researches in pair modeling, such as sentence pair [25], image pair [22] or video-sentence pair [42].”