DualRC: a dual-resolution learning framework with neighbourhood consensus for visual correspondences
We address the problem of establishing accurate correspondences between two images. We present a flexible framework that can easily adapt to both geometric and semantic matching. Our contribution consists of three parts. Firstly, we propose an end-to-end trainable framework that uses the coarse-to-f...
| Auteurs principaux: | , , , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
IEEE
2023
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