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(a) Compared to the existing public datasets, the EDMF dataset not only has focus differences but also includes exposure differences. (b) The dataset disclosed in this paper has advantages in its scale and varying resolutions. (c) Taking the SAMF [17], GACN [19], ZMFF [20], MDLSR [21], and SESF [22] algorithms as an example, it is demonstrated that existing MFIF methods face the challenge of exposure difference.
