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2016/11/21 · Dense captioning is a newly emerging computer vision topic for understanding images with dense language descriptions.
Dense captioning is a newly emerging computer vision topic for understanding images with dense language de- scriptions. The goal is to densely detect visual ...
In this library, we only provide Twin-LSTM structure for joint inference and late fusion (with three different fusion operators: summation, multiplication, ...
The goal is to densely detect visual concepts (e.g., objects, object parts, and interactions between them) from images, labeling each with a short descriptive ...
The goal is to densely detect visual concepts (e.g., objects, object parts, and interactions between them) from images, labeling each with a short descriptive ...
2024/03/30 · The paper is focused on the dense detection of visual concepts in images. The primary aim is to identify various visual elements such as objects ...
A new model pipeline based on two novel ideas, joint inference and context fusion, is proposed, which achieves state-of-the-art accuracy on Visual Genome ...
We design network structures that incorpo- rate two novel ideas: joint inference Localization guided by se- mantic information context fusion Description ...
2020/12/02 · 発表内容• Dense captioningの一連の研究について紹介します• Dense captioningとは？ • 画像を自然言語により密に説明する技術• 画像の局所領域と自然 ...
Re-implement CVPR2017 paper: "dense captioning with joint inference and visual context" and minor changes in Tensorflow. (mAP 8.296 after 500k iters of ...