By incorporating multi-scale dilated convolution modules, the algorithm enhances the contextual features of the feature pyramid, expands small target information, and facilitates the fusion of high-level and low
Based on PCA and optimized cascade forests, we propose the PCACFMDA model for predicting undiscovered miRNA-disease associations. The experimental results demonstrate superior prediction performance and commendable stability. Consequently, the PCACFMDA is a potent instrument for in-depth exploration of miR...
Master-CAM: Multi-scale fusion guided by Master map for high-quality class activation maps 2023, Displays Show abstract Context-sensitive zero-shot semantic segmentation model based on meta-learning 2021, Neurocomputing Citation Excerpt : In order to solve the problem of small object segmentation and...
in which the model is optimized to map one time step to the next with a 6-hour interval, and fine-tuning to minimize errors in two-step prediction, similar to the multi-time-step loss function proposed by Weyn et al. On the other hand, Bi et...
spatial details of latent image, our Net-D adopts a constant-size CNN structure, and captures the texture-rich features by utilizing residual multi-scale spatial block. Moreover, we apply an effective selective fusion module to integrate these derived features from Net-U and Net-D. Experimental...
2) Multi-scale Node Embeddings\(\mathcal {V}\):Given the 2D appearance features\(\mathcal {C}\)and 3D geometry features\(\mathcal {D}\), as shown in Fig.2(a), we leverage the pyramid pooling module (PPM) [85] followed by a convolution layer and an interpolation layer to extract...
The Waterfall module in UniPose leverages the efficiency of progressive filtering in the cascade architecture, while maintaining multi-scale fields-of-view comparable to spatial pyramid configurations. Additionally, our method is extended to UniPose-LSTM for multi-frame processing and achieves state-of-...
Fig. 4. The effect of the number of heads in the multi-head attention of the cross-attention module on the model performance on the datasets. From the experimental results in Fig. 4, we can see that as the number of heads in the multi-head attention increases, the model can capture mo...
a multiscale photometric consistency filter (MPCF) module is proposed to filter the outliers of the depth map. First, all confidence maps are upsampled to the size of the original resolution. If the confidence values of the pixels on all confidence maps are all greater than the correlation th...
In an example embodiment, the network can take as input gray images resized to 32×100 pixels (without preserving the aspect ratio) and run them through a series of convolutions and fully connected layers. In such an example embodiment, the output of the network can be a matrix of size 37...