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TransFuse: A Unified Transformer-based Image Fusion Framework using Self-supervised Learning. (arXiv:2201.07451v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
Image fusion is a technique to integrate information from multiple source
images with complementary information to improve the richness of a single
image. Due to insufficient task-specific training data and corresponding ground
truth, most existing end-to-end image fusion methods easily fall into
overfitting or tedious parameter optimization processes. Two-stage methods
avoid the need of large amount of task-specific training data by training
encoder-decoder network on large natural image datasets and utilizing the
extracted features for fusion, but the domain gap …
arxiv cv framework learning self-supervised learning supervised learning transformer