4 papers · 1 filter
Learning Probabilistic Prompt for Continual Learning
Hyekang Park, Sanghoon Lee, Geon Lee +2
Continual learning aims to progressively learn from a sequence of tasks, each containing a disjoint subset of classes, while preserving previously learned knowledge. Prompt-based c…
Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection
Sanghoon Lee, Geon Lee, Hyekang Park +1
Conventional object detectors typically operate under a closed-set assumption, limiting recognition to a predefined set of base classes seen during training. Open-vocabulary object…
Cerberus: Attribute-based person re-identification using semantic IDs
Chanho Eom, Geon Lee, Kyunghwan Cho +3
We introduce a new framework, dubbed Cerberus, for attribute-based person re-identification (reID). Our approach leverages person attribute labels to learn local and global person…
Disentangled Representations for Short-Term and Long-Term Person Re-Identification
Chanho Eom, Wonkyung Lee, Geon Lee +1
We address the problem of person re-identification (reID), that is, retrieving person images from a large dataset, given a query image of the person of interest. A key challenge is…