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Apr, 2020
从视频学习时空一致性以提高语义分割
Improving Semantic Segmentation through Spatio-Temporal Consistency Learned from Videos
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Ankita Pasad, Ariel Gordon, Tsung-Yi Lin, Anelia Angelova
TL;DR
利用无监督学习深度、自我运动和相机内在参数，通过在视频帧之间施加三维几何和时间一致性，从而提高单图像语义分割性能。
Abstract
We leverage
unsupervised learning
of depth, egomotion, and camera intrinsics to improve the performance of
single-image semantic segmentation
, by enforcing 3D-geometric and
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