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Found 4 papers, 0 papers with code
Self-Aligned Concave Curve: Illumination Enhancement for Unsupervised Adaptation
Low light conditions not only degrade human visual experience, but also reduce the performance of downstream machine analytics.
Towards Low Light Enhancement with RAW Images
In this paper, we make the first benchmark effort to elaborate on the superiority of using RAW images in the low light enhancement and develop a novel alternative route to utilize RAW images in a more flexible and practical way.
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics
By keeping in mind the transferability among different machine vision tasks (e. g. high-level semantic and mid-level geometry-related), we aim to support multiple tasks jointly at low bit rates.
Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective
Visual analytics have played an increasingly critical role in the Internet of Things, where massive visual signals have to be compressed and fed into machines.
