dlut-dimt / ReCoNet

ECCV 2022 | Recurrent Correction Network for Fast and Efficient Multi-modality Image Fusion.
MIT License
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Request -- Your Datasets #1

Open MMarvasti opened 1 year ago

MMarvasti commented 1 year ago

Hello,

Thank you for your intriguing work. Could you please share a Google Drive link to the datasets you used for your training and testing experiments, following the format you mentioned?

Thanks.

$DATA (dataset name, like: tno) ├── ir ├── vi ├── iqa (new for v1, optional) | | ├── ir (information measurement for infrared images) | | ├── vi (information measurement for visible images) ├── meta (new for v1) | | ├── train.txt (which images are used for training) | | ├── val.txt (which images are used for validation) | | ├── pred.txt (which images are used for prediction)