To address these issues, we propose a novel 3D U-Net related brain tumor segmentation model dubbed as self-calibrated attention U-Net (SCAU-Net) in this work, which simultaneously introduces two lightweight modules, i.e., external attention module and self-calibrated convolution module, into a...
we design a self-calibrated cross attention (SCCA) block. For efficient patch-based attention, query and support features are firstly split into patches. Then, we design a patch alignment module to align each query patch with its most similar support patch for better cross attention. Specifically...
## Multi-DConv Head Transposed Self-Attention (MDTA) class Attention(nn.Module): def __init__(self, dim, num_heads, bias): super(Attention, self).__init__() self.num_heads = num_heads self.temperature = nn.Parameter(torch.ones(num_heads, 1, 1)) self.qkv = nn.Conv2d(dim, d...
Self-Attention module is introduced to match or outperform their convolutional counterparts, which allows the feature aggregation to adapt to each channel. Furthermore, to improve the basic convolutional feature transformation process of Convolutional Neural Networks (CNNs), Self-Calibrated convolution is ...
现在的大部分方法都通过调整网络结构,使网络具有获得更丰富表示特征的能力,如attention、AutoML、NAS。 本文提出的自校准卷积(Self-Calibrated conv),通过增强每一层卷积的能力,提升整个网络的能力。SC conv将原卷积分为多个不同的部分,由于这种异质的卷积操作和核之间的交流,每个位置的感受野都被扩大了。
Zhang Y, Li K, Li K, Wang L, Zhong B, Fu Y (2018) Image super-resolution using very deep residual channel attention networks. In: ECCV, pp. 286–301 Zhao Y, Xiong Y, Lin D (2018) Trajectory convolution for action recognition. In: NIPS, pp. 2204–2215 Zhou S, Zhang J, Pan J...
[4] Xiaodong Cun and Chi-Man Pun. 2020. Split then Refine: Stacked Attentionguided ResUNets for Blind Single Image Visible Watermark Removal. arXiv preprint arXiv:2012.07007 (2020).About [ACM MM 2021] Visible Watermark Removal via Self-calibrated Localization and Background Refinement Resources...
Attention on buildings' Indoor Air Quality (IAQ) tend to show an increased due to time spending indoors is relatively higher than workers being outdoors. O... AA Romaizi 被引量: 0发表: 2017年 Improvement in measurement accuracy for hybrid scanner The capability to provide dense three-dimensiona...
According to the preliminary results of AIM 2020 Real Image Super-Resolution Challenge, our solution ranks third in both \\(imes \\)2 and \\(imes \\)3 tracks.doi:10.1007/978-3-030-67070-2_27Kaihua ChengChenhuan Wu
Proportion of Papers (Quarterly)Self-Calibrated ConvolutionsScaled Dot-Product AttentionStrided AttentionFixed Factorized AttentionVAERAN201920202021202220232024202500.010.020.030.04 This feature is experimental; we are continuously improving our matching algorithm. Components ComponentType Edit 🤖 No Components ...