HantingChen
HantingChen
Absolutely, the optimal number of channels is indeed influenced by the specific hardware in use. Particularly for edge-end GPUs, which may have less parallel processing capability compared to more robust...
你好，小网络由于本身冗余度就比较低，替换为adder后精度会下降比较多。
The training cost of VanillaNet is higher than ResNet, since VanillaNet utilizes the deep training technique.
We use the matplotlib package in python to draw the diagram.
Sorry for the mistake, the n^2 should be (2n+1)^2. The Eq.6 is summed accross two dimesnion i and j, and each dimension has 2n+1 values. Therefore, the computation complexity is...
Sorry for the mistake. The λ in Equ. 1 should be linearly increased from 0 to 1 on epoch 0 and 100. We will fix this typo. Besides, we do...
Thank you for your question! When using a batch size greater than 1, the advantages of VanillaNet may lessen. Specific hardware and comparisons between different batch sizes and structures can...
Thank for the nice suggestion! We have fixed this.
Thanks for your question! By enlarging the kernel size in the code, we are effectively aggregating outputs from the activation function at different positions. This essentially achieves the stacking of...
Hello, Thank you for your interest in our work and for reaching out with your question. We will release the code for downstream tasks (including detection and segmentation) in several...