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Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection
[article]
2022
arXiv
pre-print
Dark environment becomes a challenge for computer vision algorithms owing to insufficient photons and undesirable noise. To enhance object detection in a dark environment, we propose a novel multitask auto encoding transformation (MAET) model which is able to explore the intrinsic pattern behind illumination translation. In a self-supervision manner, the MAET learns the intrinsic visual structure by encoding and decoding the realistic illumination-degrading transformation considering the
arXiv:2205.03346v1
fatcat:idbmgvgj7bhkbdamkdm4zseex4