Convolution operations are fundamental to Convolutional Neural Networks (CNNs), which are widely used in applications such as video compression and image recognition. However, these operations are ...

Multiple WebNN operators still have limited ranks (convolve, pool, and resample are all fixed to 4D tensor rank and 2D axes) which was historically done for backends that might be more limited, but ...

According to the documentation, when the parameter include_last_offset is True, it is expected that “offsets has one additional element, where the last element is equivalent to the size of indices.” ...

Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...