3260 papers • 126 benchmarks • 313 datasets
keypoint detection in retinal images followed by image registration
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A novel approach based on reverse knowledge distillation to train large models with limited data while preventing overfitting, and shows that the technique generalizes to other domains, such as facial landmark matching.
This work focuses on mitigating two limitations in the joint learning of local feature detectors and descriptors, by resorting to deformable convolutional networks to densely estimate and apply local transformation in ASLFeat.
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