Neural Outlier Rejection for Self-Supervised Keypoint Learning

Jiexiong Tang
Jiexiong Tang
Vitor Guizilini
Vitor Guizilini
Hanme Kim
Hanme Kim

international conference on learning representations, 2020.

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We evaluate results generated without applying Non-Maxima Suppression

Abstract:

Identifying salient points in images is a crucial component for visual odometry, Structure-from-Motion or SLAM algorithms. Recently, several learned keypoint methods have demonstrated compelling performance on challenging benchmarks. However, generating consistent and accurate training data for interest-point detection in natural images ...More
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