玛瑙 发表于 2025-3-23 10:44:34
Perceptual Blind Panoramic Image Quality Assessment Based on Super-Pixel, we fuse and map extracted features into quality scores by applying support vector regression (SVR). The experiments demonstrate the effectiveness and superiority of our proposed metric compared with state-of-the-art PIQA methods on the public panoramic image datasets.全神贯注于 发表于 2025-3-23 15:20:38
Image Aesthetics Assessment Based on Visual Perception and Textual Semantic Understandinglti-modal combination features that contain multiple characteristics. Finally, the obtained multi-modal are combined for aesthetic assessment prediction. Experimental results on public image aesthetics assessment databases demonstrate the superiority of our model.死亡率 发表于 2025-3-23 19:42:12
A No-Reference Stereoscopic Image Quality Assessment Based on Cartoon Texture Decomposition and Humanto the network for extracting relevant feature mappings. Finally, all sub-networks are used for quality scoring predictions, resulting in the final perceptual quality score. Experiments conducted on the LIVE dataset have demonstrated the superiority of this approach.figure 发表于 2025-3-23 22:47:22
http://reply.papertrans.cn/29/2848/284723/284723_14.pngFLAT 发表于 2025-3-24 03:16:30
http://reply.papertrans.cn/29/2848/284723/284723_15.pngFeckless 发表于 2025-3-24 09:02:05
http://reply.papertrans.cn/29/2848/284723/284723_16.png桶去微染 发表于 2025-3-24 13:56:28
AUIQE: Attention-Based Underwater Image Quality Evaluator (AUIQE), a novel end-to-end IQA approach suitable for UIQA tasks. Specifically, we introduced channel and spatial dual attention mechanisms on the basis of the distortion characteristics of underwater images to make the network focus on some channels and spatial regions that are relevant to image qmembrane 发表于 2025-3-24 16:49:11
http://reply.papertrans.cn/29/2848/284723/284723_18.png纠缠 发表于 2025-3-24 22:56:10
An Omnidirectional Videos Quality Assessment Method Using Salient Object Informationppression algorithm based on salient objects (SO-NMS) to filter the recommended viewports. In the quality assessment stage, we utilizes a dense network to predict the quality scores of each viewport and then integrates these scores to obtain the video quality score. Experimental results demonstrateOutshine 发表于 2025-3-25 01:30:39
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