2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 2 cited
MXM-CLR: A Unified Framework for Contrastive Learning of Multifold Cross-Modal Representations
Ye Wang, Bowei Jiang, Changqing Zou +1
Multifold observations are common for different data modalities, e.g., a 3D shape can be represented by multi-view images and an image can be described with different captions. Exi…
cs.CV2021
Multi-Semantic Image Recognition Model and Evaluating Index for explaining the deep learning models
Qianmengke Zhao, Ye Wang, Qun Liu
Although deep learning models are powerful among various applications, most deep learning models are still a black box, lacking verifiability and interpretability, which means the…