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Training for multi-modal image fusion with PyTorch.
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Medical image registration using deep learning
[Paper][AAAI 2025] (MyGO)Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.
The official repository of Achelous and Achelous++
[CVPR'22] HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening
LRRNet (IEEE TPAMI 2023, Highly Cited Paper), Python 3.7, Pytorch >=1.8
Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" in Pytorch and Zeta
Image fusion based on deepfuse network - Tensorflow (based on ICCV2017: deepfuse), Unofficial
This repository contains the source code for our paper: "Husformer: A Multi-Modal Transformer for Multi-Modal Human State Recognition". For more details, please refer to our paper at https://arxiv.org/abs/2209.15182.