SuperJunction: Learning-Based Junction Detection for Retinal Image Registration

SuperJunction proposes a learning-based junction detection framework for retinal image registration. The method strengthens keypoint detection with multi-task vessel detection and improves descriptor training with constrained negative sampling, while also accounting for the non-linearity between different retinal views.

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