Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning

no code implementations • 6 Sep 2023 • In-Ug Yoon, Tae-Min Choi, Sun-Kyung Lee, Young-Min Kim, Jong-Hwan Kim

To create these IOS classifiers, we encode a bias prompt into the classifiers using our specially designed module, which harnesses key-prompt pairs to pinpoint the IOS features of classes in each session.

Few-Shot Class-Incremental Learning Incremental Learning

Writing in The Air: Unconstrained Text Recognition from Finger Movement Using Spatio-Temporal Convolution

1 code implementation • 19 Apr 2021 • Ue-Hwan Kim, Yewon Hwang, Sun-Kyung Lee, Jong-Hwan Kim

Our dataset consists of five sub-datasets in two languages (Korean and English) and amounts to 209, 926 video instances from 122 participants.

ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments

1 code implementation • 9 Mar 2021 • Jin-Man Park, Jae-Hyuk Jang, Sahng-Min Yoo, Sun-Kyung Lee, Ue-Hwan Kim, Jong-Hwan Kim

We present a challenging dataset, ChangeSim, aimed at online scene change detection (SCD) and more.

Change Detection Scene Change Detection +2