数据集

[zenghui11]

good job！Could you please share the training and test datasets?

[sunyichen1994]

In my manuscript, I have provided a detailed description of the training set (MSRS) and the test sets (including TNO, RoadScene, MSRS, M3FD, and LLVIP), all of which are publicly available for download.

1. TNO: A. Toet, "The TNO multiband image data collection," Data in brief, vol. 15, pp. 249-251, 2017.R
2. RoadScene: H. Xu, J. Ma, Z. Le, J. Jiang, and X. Guo, "Fusiondn: A unified densely connected network for image fusion," in Proceedings of the AAAI conference on artificial intelligence, 2020, vol. 34, no. 07, pp. 12484-12491.
3. MSRS: L. Tang, J. Yuan, H. Zhang, X. Jiang, and J. Ma, "PIAFusion: A progressive infrared and visible image fusion network based on illumination aware," Information Fusion, vol. 83, pp. 79-92, 2022.
4. M3FD: J. Liu et al., "Target-aware dual adversarial learning and a multi-scenario multi-modality benchmark to fuse infrared and visible for object detection," in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2022, pp. 5802-5811.
5. LLVIP: X. Jia, C. Zhu, M. Li, W. Tang, and W. Zhou, "LLVIP: A visible-infrared paired dataset for low-light vision," in Proceedings of the IEEE/CVF international conference on computer vision, 2021, pp. 3496-3504.