Commission 发表于 2025-3-30 11:28:03
Unsupervised Event-to-Image Reconstruction Based on Domain Adaptationn. Existing event-to-image reconstruction (E2IR) methods mostly adopt supervised learning approaches. However, it’s hard to collect ground-truth images for real events. To tackle this challenge, we present a novel unsupervised E2IR method based on domain adaption (DA) in this paper. First, we designforebear 发表于 2025-3-30 13:09:22
Adjusting Exploitation and Exploration Rates of Differential Evolution: A Novel Mutation Strategyw, a large number of variants of DE mutation strategy have been proposed and extensively studied. However, these mutation strategies rarely concentrate on adjusting the exploitation and exploration rates, which can make a great impact on DE’s performance. In this paper, a novel mutation strategy capHeretical 发表于 2025-3-30 18:15:50
http://reply.papertrans.cn/29/2848/284723/284723_53.pngCharade 发表于 2025-3-31 00:21:46
unique distortions differently to natural images. The current research of image quality assessment (IQA) for infrared images has been largely overlooked so far. To fill this void, we describe a novel benchmark infrared imaging quality evaluation database, dubbed I2QED. The database includes 50 refeGRUEL 发表于 2025-3-31 03:52:56
http://reply.papertrans.cn/29/2848/284723/284723_55.png错误 发表于 2025-3-31 06:41:42
ription of an image. With the dual-modal support of image and text, the image aesthetics assessment model will further reflect its superiority. To this end, we design a multimodal feature-driven guided image aesthetics assessment model (MFD). Firstly, multi-modal features are extracted through the fNeolithic 发表于 2025-3-31 11:14:47
http://reply.papertrans.cn/29/2848/284723/284723_57.pngREIGN 发表于 2025-3-31 15:56:48
cs. To enable an accurate and efficient assessment of stereoscopic image quality, this study introduces a no-reference stereoscopic image quality assessment model, aiming to address the limitations of existing assessment methods. Considering that natural images typically contain information like tex