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Jun, 2021
深度匹配先验: 用于密集对应的测试时优化
Deep Matching Prior: Test-Time Optimization for Dense Correspondence
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Sunghwan Hong, Seungryong Kim
TL;DR
本文提出一种称为Deep Matching Prior(DMP)的框架,使用优化方法为图像对特定定制网络,来实现密集对应的学习,并在几个基准测试中展现了与最新的基于学习的方法相媲美的性能。
Abstract
Conventional techniques to establish dense correspondences across visually or semantically similar images focused on designing a task-specific
matching prior
, which is difficult to model. To overcome this, recent
learni
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