Moreover, the existing multi-scale methods only simply focus on different sizes of view, whose sparse multi-scale features collected are not abundant enough for small objects segmentation. In this work, a multi-
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-level image information, thereby improving detection accuracy. ResNet50 is the backbone ...
MiRNAs typically consist of approximately 20–24 nucleotides and regulate the function of target messenger RNA (mRNA) at the post-transcriptional stage by precisely matching the 3’ non-coding region of the target mRNA [1]. In the realm of human RNAs, aside from mRNA, which is responsible for...
Image Semantic Space Segmentation Based on Cascaded Feature Fusion and Asymmetric Convolution Module 2022, Wireless Communications and Mobile Computing View all citing articles on ScopusJiahui Liu received the B.S. degree from Huazhong University of Science and Technology in 2017. She is currently pursui...
(x) × x). The upsampling block, known as Up Block in Fig.5, has the same residual block as used in the Down Block, along with a 2D transposed convolution35with a kernel of 2 and a stride of 2. The Up Block scales the data size back up toC × 180 × 360. ...
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...
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...
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...
The exact architecture of the network is a conv64-5, conv128-5, conv256-3, conv512-3, conv512-3, fc4096, fc4096, fc (32×23), where convX-Y denotes a convolution with X filters of size Y×Y, and fcX is a fully connected layer which produces an output of X dimensions. The c...