2 papers
cs.CV2026
QASA: Quality-Guided K-Adaptive Slot Attention for Unsupervised Object-Centric Learning
Tianran Ouyang, Xingping Dong, Jing Zhang +3
Slot Attention, an approach that binds different objects in a scene to a set of "slots", has become a leading method in unsupervised object-centric learning. Most methods assume a…
cs.CV2025
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Xingping Dong, Tianran Ouyang, Shengcai Liao +2
Most existing few-shot learning (FSL) methods require a large amount of labeled data in meta-training, which is a major limit. To reduce the requirement of labels, a semi-supervise…