3 papers
cs.CV2026
Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery
Yuxun Qu, Minyu Zhou, Yongqiang Tang +2
Generalized Category Discovery (GCD) aims to classify old categories and discover new ones from unlabeled data. Recent multi-modal approaches introduce retrieved or synthesized tex…
cs.CV2024
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery
Yuxun Qu, Yongqiang Tang, Chenyang Zhang +1
Different from the traditional semi-supervised learning paradigm that is constrained by the close-world assumption, Generalized Category Discovery (GCD) presumes that the unlabeled…
cs.CV2022
Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization
Ding Li, Xuebing Yang, Yongqiang Tang +2
Temporal Action Localization (TAL) aims to predict both action category and temporal boundary of action instances in untrimmed videos, i.e., start and end time. Fully-supervised so…