DIANet[paper]provides a universal framework that recurrently fuses the information from preceding layers to enhance the attention modeling at each layer. The existing network backbone can embed DIA unit readily by sharing the DIA unit with all the layers. In the implementation, an LSTM-based DIA ...
The official source code (partially cleaned) for the [Video Super-resolution with Temporal Group Attention] which is accepted by [CVPR-2020].TrainWe utilize 8 Nvidia Tesla V100 GPUs for training.python main.py Testcd code unzip TGA-without-align-dla.zip We...
Recently, location-based social networks, that involve both social and spatial information, have received much attention in many real-world applications such as location-based services (LBS), map utilities, business planning, and so on. In this paper, we seamlessly integrate both social networks an...
2. Encoder 通过 self-attention 建模全局关系对 feature 进行增强; 3. Decoder 主要包含 self-attention 和 cross-attention。Decoder 的输入是若干 query,每个 query 会负责一个物体的预测(或者预测为“空”)。Decoder self-attention 会在不同 query 之间进行交互,从而实现 NMS 的效果。Query 通过 cross-attention...
U-Net has become baseline standard in the medical image segmentation tasks, but it has limitations in explicitly modeling long-term dependencies. Transformer has the ability to capture long-term relevance through its internal self-attention. However, Tra
In order to solve the problem of the low efficiency of the traditional spatial keyword group query algorithm, this paper further proposes a query algorithm based on a distance-dominant group. This algorithm first selects the dominant objects of the distance-dominant group to initially reduce the ...
超图结构的推理基于一个关联矩阵,我们采用attention的方式计算关联矩阵。在人思维的预想中,一组构成群体交互的智能体应当互相有着很高的关联度。因此,为了获得不同大小的交互的群体,即超图中的超边连接,我们将此转换为了寻找不同大小的最大子矩阵的问题。为确保每个智能体参与一个群体,我们以每一个智能体为中心都进行...
The next day,I anxiously awaited the class.After the bell rang,Missy and I stopped talking as Mrs.Bartlett called for our attention.She started to call out names.When she reached group three,Missy's name was called.So I'm in group three,I thought.The second,third a...
e) Classification:Classification was done in two main steps. First, the gender classifier will identify the corresponding gender of the query image. After that, the image is transferred to the age classifier to identify the corresponding age group. Gender classification is done using shape variations...
We used 8 experimental configurations, which are indeed not exhaustive, as we cannot consider all possible combinations of artifacts. Thus, we pay attention only to those most representative and realistic. Due to space limits, the paper did not display a figure to illustrate the code examples for...