Cvpr2021 Oral Deeptag

Quick Summary: We present a deep line detector and descriptor able to detect repeatable line segments and match them, even under partial ... Deep Neural Networks are performant classifiers, but it is difficult to understand how they arrive at their 'decisions'.

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Overview

We present a deep line detector and descriptor able to detect repeatable line segments and match them, even under partial ... Deep Neural Networks are performant classifiers, but it is difficult to understand how they arrive at their 'decisions'. Title: Self-Supervised Multi-Frame Monocular Scene Flow Authors: Junhwa Hur and Stefan Roth Conference: IEEE/CVF ...

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We present a deep line detector and descriptor able to detect repeatable line segments and match them, even under partial ...
Deep Neural Networks are performant classifiers, but it is difficult to understand how they arrive at their 'decisions'.
Title: Self-Supervised Multi-Frame Monocular Scene Flow Authors: Junhwa Hur and Stefan Roth Conference: IEEE/CVF ...

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