Polarized self-attention是一种改进的自注意力机制,旨在提高自注意力模型的效率和准确性。传统的自注意力机制通常需要计算所有位置对所有位置的注意力,这会导致计算复杂度的增加和模型的训练时间的延长。Polarized self-attention通过引入极化因子来减少需要计算的位置对之间的注意力,从而提高自注意力模型的效率。极化因子...
Polarized Self-Attention 结构简洁,由两个分支组成,即通道分支(Channel Branch)和空间分支(Spatial Branch),两个分支分别使用Softmax-Sigmoid 组合非线性对通道和空间维度进行处理。两个分支可并行、可串行。PSA 中的 Polarized Filter 及 Enhancement 分别通过以下步骤操作: Polarized Filter 折叠: 将输入张量沿着一个维...
yolov10 引入 classPolarizedSelfAttention(nn.Module):def__init__(self, channel=512):super().__init__()# 通道注意力权重计算层self.ch_wv = nn.Conv2d(channel, channel //2, kernel_size=(1,1))self.ch_wq = nn.Conv2d(channel,1, kernel_size=(1,1))# 通道和空间注意力的softmaxself.so...
1. 论文和代码地址论文链接：https://arxiv.org/pdf/2107.00782.pdf官网代码：https://github.com/DeLightCMU/PSA （暂未开源）核心代码：https://github.com/xmu-xiaoma666/External-Attention-pytorch/blob/master/attention/PolarizedSelfAttention.py2. Motivation细粒度的像素级任务（比如语义分割）一直都是计算...
self.backbone(x) File "/home/aistudio/psanet-main/paddleseg/models/backbone/hrnetv2_psa.py", line 602, in forward def forward(self, x_in): x = self.conv1(x_in) x = self.bn1(x) ~~~ <--- HERE x = self.relu(x) x = self.conv2(x) File "/opt/conda/envs/python35-paddle12...
classPolarizedSelfAttention(nn.Module):def__init__(self,channel=512):super().__init__()# 通道注意力权重计算层self.ch_wv=nn.Conv2d(channel,channel//2,kernel_size=(1,1))self.ch_wq=nn.Conv2d(channel,1,kernel_size=(1,1))# 通道和空间注意力的softmaxself.softmax_channel=nn.Softmax(1...
Polarized self-attentionGhost moduleCoordinate decodingIn recent years, human pose estimation has been widely used in human-computer interaction, augmented reality, video surveillance, and many other fields, but the task of pose estimation still faces many challenges. To address the large number of ...
Polarized Self-Attention: Towards High-quality Pixel-wise Regression. Pixel-wise regression is probably the most common problem in fine-grained computer vision tasks, such as estimating keypoint heatmaps and segmentation masks. These regression problems are very challenging particularly because they requi...
Firstly, the integration of the ghost module and the Polarized Self-Attention attention mechanism into the backbone culminates in the CGP module, which is... Y Wang,Z Kou - IOP Publishing Ltd 被引量: 0发表: 2024年 A coal and gangue detection method for low light and dusty environments To...
This is an official implementation of "Polarized Self-Attention: Towards High-quality Pixel-wise Regression" - DeLightCMU/PSA