1 citations · 1 across the 4 of their papers we have counts for
5 papers
Data-Efficient Generalization for Zero-shot Composed Image Retrieval
Zining Chen, Zhicheng Zhao, Fei Su +2
Zero-shot Composed Image Retrieval (ZS-CIR) aims to retrieve the target image based on a reference image and a text description without requiring in-distribution triplets for train…
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection
Zining Chen, Xingshuang Luo, Weiqiu Wang +3
Recent Anomaly Detection (AD) methods have achieved great success with In-Distribution (ID) data. However, real-world data often exhibits distribution shift, causing huge performan…
PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization
Zining Chen, Weiqiu Wang, Zhicheng Zhao +3
Domain Generalization (DG) aims to resolve distribution shifts between source and target domains, and current DG methods are default to the setting that data from source and target…
Causality-based Dual-Contrastive Learning Framework for Domain Generalization
Zining Chen, Weiqiu Wang, Zhicheng Zhao +1
Domain Generalization (DG) is essentially a sub-branch of out-of-distribution generalization, which trains models from multiple source domains and generalizes to unseen target doma…
Bag of Tricks for Out-of-Distribution Generalization
Zining Chen, Weiqiu Wang, Zhicheng Zhao +2
Recently, out-of-distribution (OOD) generalization has attracted attention to the robustness and generalization ability of deep learning based models, and accordingly, many strateg…