Gradient-Guided Modality Decoupling for Missing-Modality Robustness

1 code implementation • 26 Feb 2024 • Hao Wang, Shengda Luo, Guosheng Hu, JianGuo Zhang

In aid of this indicator, we present a novel Gradient-guided Modality Decoupling (GMD) method to decouple the dependency on dominating modalities.

Sentiment Analysis

Strip-MLP: Efficient Token Interaction for Vision MLP

1 code implementation • ICCV 2023 • Guiping Cao, Shengda Luo, Wenjian Huang, Xiangyuan Lan, Dongmei Jiang, YaoWei Wang, JianGuo Zhang

Finally, based on the Strip MLP layer, we propose a novel \textbf{L}ocal \textbf{S}trip \textbf{M}ixing \textbf{M}odule (LSMM) to boost the token interaction power in the local region.

Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations

no code implementations • 6 Mar 2021 • Hongwei Li, Fei-Fei Xue, Krishna Chaitanya, Shengda Luo, Ivan Ezhov, Benedikt Wiestler, JianGuo Zhang, Bjoern Menze

Radiomic representations can quantify properties of regions of interest in medical image data.

Representation Learning Self-Supervised Learning