To address this challenge, we design a benchmark framework for the cross-illumination video anomaly detection task. The framework restores videos under different illumination scales to the same illumination scale. This reduces domain differences between uniformly illuminated training videos and differently illuminated test videos.. Enhancing underwater images captured under mixed artificial and natural lighting conditions presents two critical challenges. Existing methods lack a unified luminance feature extraction paradigm for mixed lighting scenes, leading to imbalance in luminance features, and consequent local overexposure or underexposure. Additionally, some color correction methods, through the fusion of features.
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Buy the Illumination Cross Night Light for sale online from Brighton! Visit Brighton today to find the perfect charms, necklaces, bracelets, and more!. To improve the detection performance of low-illumination data, we can spend a lot of labor to label low-illumination data, but we tried a new idea to solve the problem by making full use of the properties of Thermal (T) images. Therefore, we propose a T-aware guided early fusion network for cross-illumination salient object detection.
