However, effective training of such fusion models is challenging due to the scarcity of ground truth fusion data. To tackle this issue, we propose the Equivariant Multi-Modality imAge fusion …
GitHub - Zhaozixiang1228/MMIF-EMMA: [CVPR 2024] Official …
To tackle this issue, we propose the Equivariant Multi-Modality imAge fusion (EMMA) paradigm for end-to-end self-supervised learning. Our approach is rooted in the prior knowledge that …
[2305.11443] Equivariant Multi-Modality Image Fusion - arXiv.org
May 19, 2023 · To tackle this issue, we propose the Equivariant Multi-Modality imAge fusion (EMMA) paradigm for end-to-end self-supervised learning. Our approach is rooted in the prior …
Equivariant Multi-Modality Image Fusion - IEEE Xplore
Jun 22, 2024 · However, effective training of such fusion models is challenging due to the scarcity of ground truth fusion data. To tackle this issue, we propose the Equivariant Multi-Modality …
Equivariant Multi-Modality Image Fusion - computer.org
However, effective training of such fusion models is challenging due to the scarcity of ground truth fusion data. To tackle this issue, we propose the Equivariant Multi-Modality imAge fusion …
Equivariant Multi-Modality Image Fusion - Heriot-Watt Research …
To tackle this issue, we propose the Equivariant Multi-Modality imAge fusion (EMMA) paradigm for end-to-end self-supervised learning. Our approach is rooted in the prior knowledge that …
CVPR 2024 融合新范式！EMMA：等变多模态图像融合 - 知乎
Apr 26, 2024 · 本文提出一种用于端到端自监督学习的等变多模态图像融合（EMMA）范式，为红外-可见光图像和医学图像产生了高质量的融合结果，同时促进了下游的多模态分割和检测任 …
Equivariant Multi-Modality Image Fusion - Northwestern …
To tackle this issue, we propose the Equivariant Multi-Modality imAge fusion (EMMA) paradigm for end-to-end self-supervised learning. Our approach is rooted in the prior knowledge that …
Equivariant Multi-Modality Image Fusion
TL;DR: The Equivariant Multi-Modality Image Fusion (EMMA) paradigm improves multi-modality image fusion using self-supervised learning, addressing challenges in traditional approaches …
Chunyang Cheng 程春阳
ICPR, 2025. [paper] "MMDRFuse: Distilled Mini-Model with Dynamic Refresh for Multi-Modality Image Fusion." ACM MM (oral), 2024. [paper] [Code] "Learning Feature Restoration …
EMMA: Equivariant Multi-Modality Image Fusion (等变多模态图 …
Jun 5, 2024 · EMMA中提出的U - Fuser融合模块熟练地建模跨多个尺度的长、短程依赖关系，以整合源信息。 我们的方法在红外-可见光图像融合和医学图像融合中表现出优异的性能，这也被 …
To address this issue, we propose the Equivariant Multi-Modality imAge fusion (EMMA) paradigm for end-to-end self-supervised learning. Our approach is based on the prior knowledge that …