category discovery 1dirichlet process 1gaussian mixture model 1novel class detection 1online learning 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
DP-BOA: Dirichlet-Process Birth-or-Assign for On-the-Fly Category Discovery
Peiyan Gu, Zixin Teng, Xuming He
The paper introduces DP-BOA, an online decision framework that uses a Dirichlet-process Gaussian mixture model to explicitly decide whether to assign a test sample to an existing c…
cs.CV2025
Freeze and Cluster: A Simple Baseline for Rehearsal-Free Continual Category Discovery
Chuyu Zhang, Xueyang Yu, Peiyan Gu +1
This paper addresses the problem of Rehearsal-Free Continual Category Discovery (RF-CCD), which focuses on continuously identifying novel class by leveraging knowledge from labeled…
cs.CV2025
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery
Chuyu Zhang, Peiyan Gu, Xueyang Yu +1
We tackle the generalized category discovery (GCD) problem, which aims to discover novel classes in unlabeled datasets by leveraging the knowledge of known classes. Previous works…