Human-Object Interaction (HOI) detection is the task of identifying a se...
Pre-trained large-scale models provide a transferable embedding, and the...
Self-supervised learning has drawn attention through its effectiveness i...
We consider the Bayesian analysis of models in which the unknown distrib...
The VALUE (Video-And-Language Understanding Evaluation) benchmark is new...
Previous deep learning-based line segment detection (LSD) suffer from th...
In this paper, we study the compositional learning of images and texts f...
We propose methods for constructing regularized mixtures of density
fore...
This paper presents a study on semi-supervised learning to solve the vis...
This paper is dedicated to team VAA's approach submitted to the Fashion-...
Many studies have been performed on metric learning, which has become a ...
With a growing demand for the search by image, many works have studied t...
We present a baseline convolutional neural network (CNN) structure and i...