To address these issues, in this article, we propose a dense lightweight network, called MADNet, for stronger multiscale feature expression and feature correlation learning. Specifically, a …

2020年3月4日 · To address these issues, in this article, we propose a dense lightweight network, called MADNet, for stronger multiscale feature expression and feature correlation learning.

We describe how to interact with MadNet in order to view the contents of a DataStore here.

2021年10月21日 · In this paper, we improve upon a previously developed single-image DTM estimation system called MADNet (1.0). We propose optimisations which we collectively call …

2018年10月12日 · We address this issue introducing a new lightweight, yet effective, deep stereo architecture, Modularly ADaptive Network (MADNet) and developing a Modular ADaptation …

Therefore, we address this side effect by introducing a new lightweight, yet effective, deep stereo architecture Modularly ADaptive Network (MADNet) and by developing Modular ADaptation …

Architecture of our proposed model (MADNet), which contains two subnetworks: an EFEN and a UN. The former includes three DRPBs; the latter is constructed by three sets of Conv layers …

MADNET: a fast and lightweight network designed specifically for single-image super-resolution. MADNET leverages innovative architectural design and efficient computational strategies to …

2025年3月23日 · To study the scarcity of addressee labels which is a common issue in MPCs, we propose MADNet that maximizes addressee deduction expectation in heterogeneous graph …

MADnet: a Multiple Attention Decoder Network for Segmentation of Remote Sensing Images Abstract: Segmentation of high-resolution remote sensing images is a challenging task. Some …