Despite the impressive progress of self-supervised learning (SSL), its
a...
Learning visual representations through self-supervision is an extremely...
Self-attention based models such as vision transformers (ViTs) have emer...
Instance-level image retrieval is the task of searching in a large datab...
Semi-supervised learning aims to take advantage of a large amount of
unl...
This paper explores the task of interactive image retrieval using natura...
In this paper, we propose an end-to-end model that learns to interpret
n...
Image compositing is a method used to generate realistic yet fake imager...