Irritate
发表于 2025-3-25 06:59:12
Wie man effektiver faktorisiert,. By modeling high-level features in multiple dimensions, a Clue Feature Correction Module (CFCM) is designed to enhance the semantic relevance of high-level features in spatial and channel positions. Experiments on four benchmark datasets validate the superiority of the proposed model over current technologies.
enmesh
发表于 2025-3-25 10:29:28
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Nonthreatening
发表于 2025-3-25 14:06:19
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歌唱队
发表于 2025-3-25 16:40:35
Refinement Correction Network for Scene Text Detection. By modeling high-level features in multiple dimensions, a Clue Feature Correction Module (CFCM) is designed to enhance the semantic relevance of high-level features in spatial and channel positions. Experiments on four benchmark datasets validate the superiority of the proposed model over current technologies.
撤退
发表于 2025-3-25 23:30:09
Weight Uncertainty Network for Low-Light Image Enhancementhe Retinex theory. Our method is trained under various brightness conditions and can generalize well to unknown brightness conditions. Extensive quantitative and qualitative experiments demonstrate that our method can achieve competitive performance against state-of-the-art solutions on different datasets.
ROOF
发表于 2025-3-26 02:19:27
Conference proceedings 2024ons. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology... .
织物
发表于 2025-3-26 04:26:24
,Der konstruktive Entwicklungsprozeß,mance, achieving an accuracy rate of 95.451% and a recall rate of 99.101%. In addition, we integrate blockchain technology with IPFS to utilize their advantages in information protection to provide innovative solutions for image copyright protection.
prostatitis
发表于 2025-3-26 11:29:47
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法律
发表于 2025-3-26 15:41:24
https://doi.org/10.1007/978-3-662-66283-0o focus on samples with highly differentiated modal information, we design an adaptive weight adjustment strategy to guide the model’s learning of unimodal information. Extensive experiments on two datasets demonstrate the effectiveness of our AFUG.
slipped-disk
发表于 2025-3-26 20:42:19
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