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Sep 20, 2019 · In this paper, we use convolutional network to characterize the feature, and color features. Specifically, it contains region proposal network.
In this paper, we use convolutional network to characterize the feature, and color features. Specifically, it contains region proposal network which including ...
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In this paper, we present HistoGAN, a color histogram-based method for controlling GAN-generated images' colors.
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This paper introduces the Color Histogram Contouring (CHC) method, a new training-less approach to object detection that emphasizes the distinctive features ...
Visual object tracking has been a concern topic these years, and many trackers have achieved good results in various fields. These.
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We propose a new color distribution loss for color rep- resentation learning and suggest a specialized kernel function for improved differential histogram ...
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We enhance underwater images through a modular approach. We perform color decoupling by focusing on color histograms and texture information.
This article addresses the issue of individual building segmentation from a single VHR SAR image in large-scale urban areas. To achieve this, we introduce ...
Apr 14, 2023 · Without semantic priors, a network may easily deviate from a region's original color. To address this issue, we propose a novel semantic-aware ...