1 citations · 1 across the 5 of their papers we have counts for
5 papers
On Train-Test Class Overlap and Detection for Image Retrieval
Chull Hwan Song, Jooyoung Yoon, Taebaek Hwang +3
How important is it for training and evaluation sets to not have class overlap in image retrieval? We revisit Google Landmarks v2 clean, the most popular training set, by identifyi…
SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining
Chull Hwan Song, Taebaek Hwang, Jooyoung Yoon +2
Vision-language models (VLMs) have made significant strides in cross-modal understanding through large-scale paired datasets. However, in fashion domain, datasets often exhibit a d…
Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network
Chull Hwan Song, Taebaek Hwang, Jooyoung Yoon +2
Many studies in vision tasks have aimed to create effective embedding spaces for single-label object prediction within an image. However, in reality, most objects possess multiple…
Boosting vision transformers for image retrieval
Chull Hwan Song, Jooyoung Yoon, Shunghyun Choi +1
Vision transformers have achieved remarkable progress in vision tasks such as image classification and detection. However, in instance-level image retrieval, transformers have not…
Clinical Text Generation through Leveraging Medical Concept and Relations
Wangjin Lee, Hyeryun Park, Jooyoung Yoon +2
With a neural sequence generation model, this study aims to develop a method of writing the patient clinical texts given a brief medical history. As a proof-of-a-concept, we have d…