4 papers
Attention-Guided Perturbation Network for Industrial Anomaly Detection
Tingfeng Huang, Weijia Kong, Yuxuan Cheng +8
In unsupervised image anomaly detection, reconstruction-based methods learn normal patterns for data reconstruction, but often undesirably reconstruct anomalous regions at inferenc…
WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation
Yang Liu, Silin Cheng, Xinwei He +3
Weakly supervised referring expression comprehension(WREC) and segmentation(WRES) aim to learn object grounding based on a given expression using weak supervision signals like imag…
Tetrahedron-Net for Medical Image Registration
Jinhai Xiang, Shuai Guo, Qianru Han +3
Medical image registration plays a vital role in medical image processing. Extracting expressive representations for medical images is crucial for improving the registration qualit…
TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment
Zhichuan Wang, Yang Zhou, Jinhai Xiang +2
Learning discriminative 3D representations that generalize well to unknown testing categories is an emerging requirement for many real-world 3D applications. Existing well-establis…