unclewu3242592726 Goto Github PK
Name: dqwu
Type: User
Bio: a post student from ECUST,china
Location: 上海
Name: dqwu
Type: User
Bio: a post student from ECUST,china
Location: 上海
This is the official implementation of the AEFusion model proposed in the paper (AEFusion: A multi-scale fusion network combining Axial attention and Entropy feature Aggregation for infrared and visible images)
[IJCV 2023] CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion
Connect to Google Colab VM from your local VSCode
RFN-Nest(Information Fusion, 2021, Highly Cited Paper) - PyTorch =1.5,Python=3.7
This is the implementation for the paper titled "MUFusion: A general unsupervised image fusion network based on memory unit".
image fusion : EI CrossEntropy SF EN Qabf SCD FMI_w FMI_dct SSIM MS-SSIM FMI-pixel Nabf MI VIF SD EN DF QSF QMI QS QY QC QNCIE Qabf AG MIabf QG CC VIFF QP QW QE QCV QCB
深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch
Code of SDNet: A Versatile Squeeze-and-Decomposition Network for Real-Time Image Fusion.
The code of " Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network"
Implementation of our AAAI'22 work: 'UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer'.
All deep learning-based infrared and visible image fusion algorithms in a whole framework
Visible and Infrared Image Fusion Benchmark
[Information Fusion] Boosting Image Matting with Pretrained Plain Vision Transformers
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