adjacent 发表于 2025-3-23 12:01:38
Exploring Deep Learning Architectures for Localised Hourly Air Quality Prediction,n context, we propose that as a decision support tool it is more valuable to provide hourly forecasts at local scales with the following considerations: (1) the system should be designed for rapid and simple human-tuning of different trade-offs; (2) the chosen model and hyper-parameters should maxim品牌 发表于 2025-3-23 16:35:16
http://reply.papertrans.cn/17/1627/162657/162657_12.pngenchant 发表于 2025-3-23 22:03:20
http://reply.papertrans.cn/17/1627/162657/162657_13.pngEXTOL 发表于 2025-3-24 01:18:47
,F-Transformer: Point Cloud Fusion Transformer for Cooperative 3D Object Detection,ded, or small objects). Building on a two-step communication scheme to transmit the pillar features between views, it is possible to observe the same object from different viewpoints. We then design a feature fusion scheme based on Transformer to fuse the pillar features by discretizing the point cl不能强迫我 发表于 2025-3-24 02:54:13
How to Face Unseen Defects? UDGAN for Improving Unseen Defects Recognition,ad to large economic losses. Existing methods focus on the recognition of seen defects, but are powerless against unseen defects. The recognition of unseen defects is a challenging task and has not been widely explored. To our knowledge, we are the first to raise the issue of unseen defect recogniti乐器演奏者 发表于 2025-3-24 09:00:13
http://reply.papertrans.cn/17/1627/162657/162657_16.png易于 发表于 2025-3-24 13:14:20
,Lymphoma Ultrasound Image Segmentation with Self-Attention Mechanism and Stable Learning,f lymphoma ultrasound images: (i) the fuzziness of structural boundaries in the image domain and (ii) the generalization of images scanned by different ultrasonic instruments. To solve these two problems, we propose an segmentation framework based on self-attention mechanism and stable learning, in序曲 发表于 2025-3-24 15:39:07
http://reply.papertrans.cn/17/1627/162657/162657_18.png补角 发表于 2025-3-24 20:52:19
Elektrochemisches Abtragen (ECM),l image. Then, in order to solve the problem of curve deviation and curve defect, two components, curve correction and curve filling, which adopt deep regression and Generative adversarial networks, are devised for spectrum curve refining operation. These two outputs are fused for final segmentationPandemic 发表于 2025-3-24 23:55:32
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