DFR-net: Learning Dense Features at the Resolution Level

DFR-net: Learning Dense Features at the Resolution Level

Patch matching is a significant stage in numerous computer vision tasks. This paper proposed a novel network structure, named DFR-net, appropriate to match patches. The proposed network uses a dense connectivity pattern at the resolution level, making the training efficient. This connectivity patter...

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Bibliographic Details
Main Authors: Yang He, Wenyuan Tao, Chung-Ming Own
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Patch matching
Siamese network
resolution level
small-patch matching task
local patch
image patches
Online Access:https://ieeexplore.ieee.org/document/8766973/

Internet

https://ieeexplore.ieee.org/document/8766973/

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