Domain-wise Invariant Learning for Panoptic Scene Graph Generation

no code implementations • 9 Oct 2023 • Li Li, You Qin, Wei Ji, Yuxiao Zhou, Roger Zimmermann

Panoptic Scene Graph Generation (PSG) involves the detection of objects and the prediction of their corresponding relationships (predicates).

Graph Generation Panoptic Scene Graph Generation

Causal SAR ATR with Limited Data via Dual Invariance

1 code implementation • 18 Aug 2023 • Chenwei Wang, You Qin, Li Li, Siyi Luo, Yulin Huang, Jifang Pei, Yin Zhang, Jianyu Yang

As a result, it has a detrimental causal effect damaging the efficacy of feature $X$ extracted from SAR images, leading to weak generalization of SAR ATR with limited data.

Unveiling Causalities in SAR ATR: A Causal Interventional Approach for Limited Data

no code implementations • 18 Aug 2023 • Chenwei Wang, Xin Chen, You Qin, Siyi Luo, Yulin Huang, Jifang Pei, Jianyu Yang

Then, a feature discrimination approach with hybrid similarity measurement is introduced to measure and mitigate the structural and vector angle impacts of varying imaging conditions on the extracted features from SAR images.

Causal Inference Data Augmentation

Panoptic Scene Graph Generation with Semantics-Prototype Learning

1 code implementation • 28 Jul 2023 • Li Li, Wei Ji, Yiming Wu, Mengze Li, You Qin, Lina Wei, Roger Zimmermann

To promise consistency and accuracy during the transfer process, we propose to measure the invariance of representations in each predicate class, and learn unbiased prototypes of predicates with different intensities.

Graph Generation Panoptic Scene Graph Generation