Search Results for author: Han-Cheol Cho

Found 7 papers, 3 papers with code

CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling

1 code implementation21 Jan 2024 Jawook Gu, Han-Cheol Cho, Jiho Kim, Kihyun You, Eun Kyoung Hong, Byungseok Roh

Moreover, models using expert-annotated data are limited by data scarcity and pre-defined classes, impacting their performance, flexibility and scalability.


Open-Vocabulary Object Detection using Pseudo Caption Labels

no code implementations23 Mar 2023 Han-Cheol Cho, Won Young Jhoo, Wooyoung Kang, Byungseok Roh

Recent open-vocabulary detection methods aim to detect novel objects by distilling knowledge from vision-language models (VLMs) trained on a vast amount of image-text pairs.

Image Captioning Knowledge Distillation +3

DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting

no code implementations10 Mar 2022 Seonghyeon Kim, Seung Shin, Yoonsik Kim, Han-Cheol Cho, Taeho Kil, Jaeheung Surh, Seunghyun Park, Bado Lee, Youngmin Baek

Since only a single point is required to recognize the text, the proposed method enables text spotting without an arbitrarily-shaped detector or bounding polygon annotations.

Text Spotting

SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models

1 code implementation20 Jul 2021 Moonbin Yim, Yoonsik Kim, Han-Cheol Cho, Sungrae Park

For successful scene text recognition (STR) models, synthetic text image generators have alleviated the lack of annotated text images from the real world.

Image Generation Scene Text Recognition

BABO: Background Activation Black-Out for Efficient Object Detection

no code implementations5 Feb 2020 Byungseok Roh, Han-Cheol Cho, Myung-Ho Ju, Soon Hyung Pyo

Recent advances in deep learning have enabled complex real-world use cases comprised of multiple vision tasks and detection tasks are being shifted to the edge side as a pre-processing step of the entire workload.

Object object-detection +1

Cannot find the paper you are looking for? You can Submit a new open access paper.