This paper proposes a novel diffusion-based model, CompoDiff, for solvin...
Vision Transformer (ViT) extracts the final representation from either c...
Strong image search models can be learned for a specific domain, ie. set...
This paper is a technical report to share our experience and findings
bu...
In hash-based image retrieval systems, the transformed input from the
or...
Previous deep learning-based line segment detection (LSD) suffer from th...
In this paper, we study the compositional learning of images and texts f...
The core of deep metric learning (DML) involves learning visual similari...
One of the main purposes of deep metric learning is to construct an embe...
Learning the distance metric between pairs of samples has been studied f...
Deep metric learning aims to learn embeddings that contain semantic
simi...
Cartesian tree matching is the problem of finding all substrings in a gi...
Many studies have been performed on metric learning, which has become a ...
In this paper, we propose Dynamics Transfer GAN; a new method for genera...
In face-related applications with a public available dataset, synthesizi...