May 1, 2018 · In this extended abstract, we explore methods to localize flexibly image regions from the top-down signal (in a form of one-hot label or natural ...
This extended abstract explores methods to localize flexibly image regions from the top-down signal (in a form of one-hot label or natural languages) with a ...
May 18, 2023 · Using only image-sentence pairs, weakly-supervised visual-textual grounding aims to learn region-phrase correspondences of the respective entity mentions.
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In this extended abstract, we explore methods to localize flexibly image regions from the top-down signal (in a form of one-hot label or natural languages) with ...
We address the problem of grounding free-form textual phrases by using weak supervision from image-caption pairs. We propose a novel end-to-end model that ...
We propose a weakly-supervised approach that takes image-sentence pairs as input and learns to visually ground (i.e., localize) arbitrary linguistic phrases ...
Using only image-sentence pairs, weakly-supervised visual-textual grounding aims to learn region-phrase correspondences of the respective entity mentions.
Mar 25, 2024 · Summary: This work proposes a method for weakly supervised visual grounding. They design a model that consists of an image encoder, a text ...
Phrase localization is a task that studies the mapping from textual phrases to regions of an image. Given difficulties in annotating phrase-.
Abstract. We propose a weakly-supervised approach that takes image-sentence pairs as input and learns to visually ground.