4 papers
Good Rankings, Poor Choices? Rethinking Language-Only Vision-Language Model Selection
Hyuk Kwon, Jaebyeong Jeon, Hyeonseo Jang +1
Language-Only Vision-Language Model Selection (LOVM) aims to identify the Vision-Language Model (VLM) with the highest zero-shot accuracy on a target task using only textual inform…
Enhancing Continual Learning of Vision-Language Models via Dynamic Prefix Weighting
Hyeonseo Jang, Hyuk Kwon, Kibok Lee
We investigate recently introduced domain-class incremental learning scenarios for vision-language models (VLMs). Recent works address this challenge using parameter-efficient meth…
Automated Model Evaluation for Object Detection via Prediction Consistency and Reliability
Seungju Yoo, Hyuk Kwon, Joong-Won Hwang +1
Recent advances in computer vision have made training object detectors more efficient and effective; however, assessing their performance in real-world applications still relies on…
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
Seongheon Park, Hyuk Kwon, Kwanghoon Sohn +1
Open-world semi-supervised learning (OWSSL) extends conventional semi-supervised learning to open-world scenarios by taking account of novel categories in unlabeled datasets. Despi…