PatFig: Generating Short and Long Captions for Patent Figures

09/15/2023
by   Dana Aubakirova, et al.
0

This paper introduces Qatent PatFig, a novel large-scale patent figure dataset comprising 30,000+ patent figures from over 11,000 European patent applications. For each figure, this dataset provides short and long captions, reference numerals, their corresponding terms, and the minimal claim set that describes the interactions between the components of the image. To assess the usability of the dataset, we finetune an LVLM model on Qatent PatFig to generate short and long descriptions, and we investigate the effects of incorporating various text-based cues at the prediction stage of the patent figure captioning process.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/27/2022

CLID: Controlled-Length Image Descriptions with Limited Data

Controllable image captioning models generate human-like image descripti...
research
06/12/2023

Scalable 3D Captioning with Pretrained Models

We introduce Cap3D, an automatic approach for generating descriptive tex...
research
07/31/2023

Guiding Image Captioning Models Toward More Specific Captions

Image captioning is conventionally formulated as the task of generating ...
research
03/20/2021

3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model

In this paper, we build a multi-style generative model for stylish image...
research
12/21/2020

Alleviating Noisy Data in Image Captioning with Cooperative Distillation

Image captioning systems have made substantial progress, largely due to ...
research
07/21/2023

OxfordTVG-HIC: Can Machine Make Humorous Captions from Images?

This paper presents OxfordTVG-HIC (Humorous Image Captions), a large-sca...
research
01/26/2023

Paraphrase Acquisition from Image Captions

We propose to use captions from the Web as a previously underutilized re...

Please sign up or login with your details

Forgot password? Click here to reset