SANET is a toolbox for analyzing events that occur on networks or alongside networks e.g., car crashes on roads and beauty parlors in downtown streets, respectively.

Si and Ri denote the output feature maps of the encoder and the decoder at the i-th stage, respectively. Pi stands for the predicted saliency map, and P1 is the final prediction result.

This manual describes how to use SANET: a toolbox for spatial analysis on a network. SANET is part of the results obtained from the six year (1998-2003) project entitled “Spatial Information …

2025年3月16日 · Download AllMapSoft Universal Maps Downloader 10.209 or any other file from Software category. HTTP download also available at fast speeds.

2024年12月31日 · We propose a novel lightweight scale-adaptive network to achieve a trade-off between lightweight restriction and detection performance.

2024年12月10日 · A Similarity Aggregation Network (SANet) is proposed to direct the network’s attention to the potential target areas and aggregate the pixel-wise similarity information …

2025年1月1日 · To address these problems, this paper presents a Selective Aggregation Network (SANet) to obtain high-quality features and labels for unsupervised object re-identification, …

In this paper, we collect the largest and most diverse dataset named PN9 for pulmonary nodule detection by far. Specifically, it contains 8,798 CT scans and 40,439 annotated nodules from 9 …

🌏 map of Sanet (Nepal / Far Western), satellite view. Real picture of streets and buildings location in Sanet: with labels, ruler, search, places sharing, your locating, weather conditions and …

It iteratively registers a query image to the scene at different levels, and yields the dense coordinate map regularized by contextual image information. Their network is validated on …