2 papers
cs.CV2025
PointAD+: Learning Hierarchical Representations for Zero-shot 3D Anomaly Detection
Qihang Zhou, Shibo He, Jiangtao Yan +2
In this paper, we aim to transfer CLIP's robust 2D generalization capabilities to identify 3D anomalies across unseen objects of highly diverse class semantics. To this end, we pro…
cs.HC2025
LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark
Guangyi Liu, Pengxiang Zhao, Liang Liu +6
Mobile GUI agents show promise in automating tasks but face generalization challenges in diverse real-world scenarios. Traditional approaches using pre-training or fine-tuning with…