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Enhance dark images using a learned color invariant and instance-aware translation with DiCo

Enhance dark images using a learned color invariant and instance-aware translation with DiCo


Disentangled Contrastive Image Translation for Nighttime Surveillance

arXiv paper abstract https://arxiv.org/abs/2307.05038



Nighttime surveillance suffers from degradation due to poor illumination and arduous human annotations.


... argue that the ultimate solution for nighttime surveillance is night-to-day translation, or Night2Day, which aims to translate a surveillance scene from nighttime to the daytime while maintaining semantic consistency.


To achieve this, this paper presents a Disentangled Contrastive (DiCo) learning method.


... propose a learnable physical prior, i.e., the color invariant, which provides a stable perception of a highly dynamic night environment and can be incorporated into the learning pipeline of neural networks.


... develop a disentangled representation, which is an auxiliary pretext task that separates surveillance scenes into the foreground and background ... can extract the semantics without supervision and boost ... achieve instance-aware translation.


... demonstrate that ... method outperforms existing works significantly ...



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