32 天前 - … influences the image view, affecting the oriented applications. The … -media applications
and image processing. Numerous … Further, a multi-scale feature fusion boosted the detail …

40 天前 - … optimization, we design a multi-focus image fusion … Traditional methods usually
utilize image processing and … the feature fusion module conducts feature fusion on multi-…

100 天前 - … explore data processing and model optimization problems… wear based on spindle
current signal multi-feature fusion. … -machine interaction and safety of virtual and real driving …

108 天前 - … Feature Fusion (NAS-MFF) algorithm for sonar images classification … Moreover,
we synergize a recognition-driven CNN … include sonar image processing and deep learning. …

112 天前 - … advanced digital image processing techniques and machine learning (ML) algorithms
to … Optimal Oriented Pattern (LOOP) method provides a comprehensive approach for …

141 天前 - … baseline network to optimize feature extraction for SAR ships. In … context feature
fusion module to improve recognition and … modules in SAR ship image detection, we conducted …

172 天前 - … detection benchmark, and insert graph attention layer into CNN architecture for
optimizing semantic feature … Motivated by the sequence reduction process [41], we alternatively …

173 天前 - … We introduce a weighted multi-frame averaging technique, considering frame …
machine learning to convert sparse matrices to dense formats for improved optimization …

182 天前 - … This paper puts forward a novel T-spline surface fairing algorithm based … algorithm
based on the parameter optimization mentioned above. The specific process of the algorithm …

211 天前 - … -based feature fusion (SDFF) architecture and is optimized … feature fusion on these
candidate feature sets via feature … The image processing strategies for training and testing …