Terrace 发表于 2025-3-23 11:54:48
http://reply.papertrans.cn/77/7646/764507/764507_11.png皱痕 发表于 2025-3-23 17:52:19
,Image Semantic Feature Multiple Interactive Network for Remote Sensing Image Captioning,ensing images and output accurate, comprehensive and fluent texts. Traditional remote sensing image captioning usually use convolutional neural network as the encoder to extract image features, and recurrent neural network as the decoder to generate texts. However, the image features extracted by thpanorama 发表于 2025-3-23 20:38:23
http://reply.papertrans.cn/77/7646/764507/764507_13.pngDiaphragm 发表于 2025-3-23 22:49:26
http://reply.papertrans.cn/77/7646/764507/764507_14.pngBLINK 发表于 2025-3-24 05:32:57
http://reply.papertrans.cn/77/7646/764507/764507_15.png刚开始 发表于 2025-3-24 07:43:50
http://reply.papertrans.cn/77/7646/764507/764507_16.pngAbominate 发表于 2025-3-24 10:52:35
Consensus Control for a Class of Nonlinear Multi Agent System,the framework of multi-agent consensus control theory, except simultaneously hitting the target, the paper further takes into account the angle error, communication delay, and calculation error in the feedback linearization method for missile models. . theory is employed to design parameters and agalibertine 发表于 2025-3-24 18:41:14
Highway Vehicle Object Detection System Based on RepViT and YOLOv8,hicles on the road. This paper proposes an efficient design architecture based on YOLOv8 and integrated Lightweight Vision Transformer (RepViT). Current studies have shown that ViTs show better performance and lower latency than lightweight convolutional neural networks CNNs on resource-constrained轻而薄 发表于 2025-3-24 21:43:33
http://reply.papertrans.cn/77/7646/764507/764507_19.pnglymphoma 发表于 2025-3-24 23:22:40
A Digital Twin Platform for the Industrial Control System of Chemical Production,ion lines. Unlike traditional industrial control software, which relies on flat interfaces and icon displays, our digital twin system offers a more intuitive visual representation of the whole situation of chemical production lines. The system consists of two modules: 1) a data module that acquires