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This work is a significant extension of our original work presented in IEEE CVPR2019, and is accepted to TPAMI in March 2020. We propose a spherical kernel for efficient graph convolution of 3D point ...

Firstly, a new module DRR is proposed based on Dilated Re-param Block (DRB) and Dilation-wise Residual (DWR), which is combined with the C2f module of the YOLOv8 model to enhance the model’s detection ...

Firstly, a new module DRR is proposed based on Dilated Re-param Block(DRB) and Dilation-wise Residual(DWR), which is combined with the C2f module of the YOLOv8 model to enhance the model’s detection ...

In the MRB stacking part, the convolution operations in each MRB network structure use different convolution kernels for feature extraction, and the parameters of the pooling layer are different. Each ...

On Jan. 19, Linus Torvalds officially released the Linux 6.13 kernel. I can't call the 6.13 kernel a major release, but it's still a step forward in performance, security, and hardware support.

The first new kernel release of the year has arrived — yes, Linux 6.13 has gone stable. Linux kernel 6.13 adds, as ever, a vast array of improvements, from an updated Raspberry Pi graphics driver ...

However, traditional walnut grading primarily relies on manual assessment of physiological features, which is difficult to implement efficiently. Furthermore, walnut kernel grading is, at present, ...

Linear normalization, which is most common, involves shifting the number axis so the data is balanced around zero, and then ...