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USA-737904-ComputersNetworking कंपनी निर्देशिकाएँ
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कंपनी समाचार :
- Multifeature Collaborative Fusion Network With Deep . . .
We conducted extensive experimental and ablation studies on two public datasets, OpenSARShip-1 0 and FUSAR-Ship, and the results show that MFCFNet is effective and outperforms single deep feature and multifeature models based on previous internal FC layer and terminal FC layer fusion
- Controllably Deep Supervision and Multi-Scale Feature Fusion . . .
In this study, we propose a convolutional neural network for cloud and snow detection, named the cloud and snow detection network (CSD-Net) It incorporates the multi-scale feature fusion module (MFF) and the controllably deep supervision and feature fusion structure (CDSFF)
- [2312. 14410] A Multi-Stage Adaptive Feature Fusion Neural . . .
In this paper, by considering the temporal and spatial characteristics of gait data, we propose a multi-stage feature fusion strategy (MSFFS), which performs multimodal fusions at different stages in the feature extraction process
- MDFF-Net: Multi-level Dynamic Feature Fusion Network Combined . . .
To enhance the quality of low-light images, we develop a multi-level dynamic feature fusion network combined with a deep supervision mechanism More specifically, we propose a multi-scale input encoder (MIE) in the feature extraction part, which aims to help the network perceive the scale differences of objects in low-light images, thereby
- Multi-Feature Collaborative Fusion Network with Deep . . .
In this paper, a novel multi-feature collaborative fusion network with deep supervision (MFCFNet) is proposed to effectively realize handcrafted feature and deep feature fusion in SAR ship classification task
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