To reduce the spatial dimensional inaccuracy due to upsampling in the traditional CNN framework, we develop a novel grasping visual architecture referred to as High resolution grasp nerual network ...
To reduce the spatial dimensional inaccuracy due to upsampling in the traditional CNN framework, we develop a novel grasping visual architecture referred to as High resolution grasp nerual network ...
Abstract: Convolutional Neural Networks (CNNs) and Transformer are two powerful representation learning techniques for visual tracking. Although CNNs can effectively reduce local redundancy via ...
Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...
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This modeling study investigates whether an orderly convergence of neuronal selectivities from cortical areas V1 and V2 can produce curvature selective receptive fields found in area V4. A model of ...
DTM(デスクトップ・ミュージック）という言葉が生まれてから20年以上が経ちました。それ以前からずっとこの分野を追ってきましたが、技術の進歩に伴いPCでできる音楽制作の幅はどんどん広がってきています。その長い経験と技術知識を元に、DTM・デジタル ...
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