Výsledky vyhľadávania - Multi-Path Vision Transformer algorithm
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Examination of the performance of ASEL and MPViT algorithms for classifying mangrove species of multiple natural reserves of Beibu Gulf, south China
ISSN: 1470-160XVydavateľské údaje: Elsevier Ltd 01.10.2023Vydané v Ecological indicators (01.10.2023)“…•Two adaptive stacking algorithms achieve classification accuracies of 90.4%-96.2%.•ACE and AMO stackings outperform traditional stacking in classifying mangrove species…”
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VTIL: A multi-layer indoor location algorithm for RSSI images based on vision transformer
ISSN: 2631-8695, 2631-8695Vydavateľské údaje: IOP Publishing 01.03.2024Vydané v Engineering Research Express (01.03.2024)“… Within this paper, we introduce an innovative indoor localization algorithm termed Vision Transformer Indoor Localization (VTIL…”
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AMANet: Adaptive Multi-Path Aggregation for Learning Human 2D-3D Correspondences
ISSN: 1520-9210, 1941-0077Vydavateľské údaje: Piscataway IEEE 2023Vydané v IEEE transactions on multimedia (2023)“…) how to boost the performance of index-to-patch prediction faced by limited supervision. To tackle…”
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Segmentation Algorithm Based on Multi-Path Refinement Feature Fusion
Vydavateľské údaje: IEEE 21.10.2022Vydané v 2022 2nd International Conference on Algorithms, High Performance Computing and Artificial Intelligence (AHPCAI) (21.10.2022)“… mature in the field of computer vision application. Aiming at the problems of complex background, high target similarity, and fuzzy boundary features in traffic scenes, a semantic segmentation algorithm for autonomous driving based on Multi-Scale…”
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HADCN: a hierarchical ascending densely connected network for enhanced medical image segmentation
ISSN: 0140-0118, 1741-0444, 1741-0444Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2025Vydané v Medical & biological engineering & computing (01.09.2025)“… in a hierarchically organized network for more accurate segmentation. First, HADCNet devises a cross-scale ascending densely connected structure with a multi-path attention gate (MAG…”
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Monocular Depth Estimation Algorithm Integrating Parallel Transformer and Multi-Scale Features
ISSN: 2079-9292, 2079-9292Vydavateľské údaje: Basel MDPI AG 01.11.2023Vydané v Electronics (Basel) (01.11.2023)“… The multi-path Transformer network and single-path CNN network are used to extract global and local features, respectively, and feature fusion is achieved through interactive modules, which improves…”
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Bridge the gap between practical application scenarios and cartoon character detection: A benchmark dataset and deep learning model
ISSN: 0141-9382Vydavateľské údaje: Elsevier B.V 01.09.2024Vydané v Displays (01.09.2024)“…The success of deep learning in the field of computer vision makes cartoon character detection (CCD…”
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Perception-Aware Underwater Image Quality Assessment: Dataset, Perceptual Quality Scores, and Assessment Network
ISSN: 1051-8215, 1558-2205Vydavateľské údaje: New York IEEE 01.11.2025Vydané v IEEE transactions on circuits and systems for video technology (01.11.2025)“…) algorithms or to evaluate the quality of underwater images. However, accurate UIQA that are consistent with human perception remains challenging…”
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A robust pupil detection method based on multiple continuous frames: A robust pupil detection method based on multiple continuous frames
ISSN: 1863-1703, 1863-1711Vydavateľské údaje: London Springer London 01.03.2025Vydané v Signal, image and video processing (01.03.2025)“… The method employs a U-shaped structure composed of multi-path encoders, spatiotemporal feature fusion architecture, and a single-path decoder…”
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U-Shaped Dual Attention Vision Mamba Network for Satellite Remote Sensing Single-Image Dehazing
ISSN: 2072-4292, 2072-4292Vydavateľské údaje: Basel MDPI AG 01.03.2025Vydané v Remote sensing (Basel, Switzerland) (01.03.2025)“… Although multi-scale hybrid models combining convolutional neural networks and Transformers show promise, the quadratic complexity of Transformer complicates the balance between ERF and efficiency…”
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CephTransX net : An attention enhanced feature fusion network leveraging neighborhood rough set approach for cephalometric landmark prediction
ISSN: 1879-0534Vydavateľské údaje: United States 01.04.2025Vydané v Computers in biology and medicine (01.04.2025)“… ) and Gradient Optimized Multi-Path Bottleneck (GMB ) blocks with Channel and Spatial Attention (CSAT ) module…”
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