人类的发源
发表于 2025-3-25 05:22:52
River Turbidity Monitoring Based on Semi-supervised Transfer Learningf the existing monitoring methods rely on turbidity labels measured by river water quality monitoring stations. However, due to the limitation of spatial distribution of water quality monitoring stations, those turbidity data outside the monitoring range are difficult to obtain and the correlation o
亚当心理阴影
发表于 2025-3-25 10:45:55
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盘旋
发表于 2025-3-25 15:01:19
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Venules
发表于 2025-3-25 19:11:03
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agnostic
发表于 2025-3-25 20:29:58
Bit-Depth Enhancement with Distortion Sensitivityepth enhancement (BDE) methods. Despite the recent progress, current BDE works cannot entirely remove false contours and color shifts as they focus on the overall image quality while leaving these visually sensitive distorted regions uncared. Thus, in this paper, we propose a bit-depth enhancement a
烧瓶
发表于 2025-3-26 00:53:30
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investigate
发表于 2025-3-26 06:55:00
Generative Model Watermarking Based on Human Visual Systemwatermarking to generative models for image processing. However, the existing watermarking methods designed for generative models do not take into account the effects of different channels of sample images on watermarking. As a result, the watermarking performance is still limited. To tackle this pr
indifferent
发表于 2025-3-26 09:24:39
Feature Adaptation Predictive Coding for Quantized Block Compressive Sensing of COVID-19 X-Ray Imagemportant role when remotely acquiring the chest X-ray images of COVID-19 infected people and significantly promoting the portable telemedicine imaging applications. In order to improve the encoding performance of quantized block compressive sensing, a feature adaptation predictive coding (FAPC) meth
CORE
发表于 2025-3-26 13:14:33
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领先
发表于 2025-3-26 18:13:04
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