An attention mechanism added to the boundary extraction branch considers the target contour as a hyperplane, using all information near the contour as supplementary boundary information. Method Overall architecture Our proposed MAEG-Net architecture consists of four main modules: encoder, decoder, ...
To this end, we propose an edge-guided bidirectional-attention residual network (EBRNet) equipped with an edge-guided bidirectional-attention residual module (EBRM) and a context enrichment layer (CEL). The proposed EBRM focuses on both foreground and background regions for detail recovery and ...
the input image, a decoder, which focuses on salient features, and the Edge-Guided Attention module (EGA) that employs the Laplacian Operator to accentuate polyp boundaries. Extensive experiments, both qualitative and quantitative, on five benchmark datasets, demonstrate that our MEGANet outperforms ...
To this end, we propose an edge-guided bidirectional-attention residual network (EBRNet) equipped with an edge-guided bidirectional-attention residual module (EBRM) and a context enrichment layer (CEL). The proposed EBRM focuses on both foreground and background regions for detail recovery and ...
Finally, a differential attention module (DAM) is designed to perform top-down attention and produce the final prediction results. The DAM can effectively eliminate clutter in the background area caused by connecting the edge features. In the experiment, we collected a packaging box dataset with ...
Then we introduce the three key components: inter-layer edge-aware module (Section 3.2), efficient fusion attention module (Section 3.3) and adaptive hierarchical feature aggregation module (Section 3.4). Finally, we introduce loss function in Section 3.5. Experiments In this section, we evaluate ...
Liu, H., Liu, F., Fan, X., Huang, D.: Polarized self-attention: towards High-quality Pixel-wise Regression. arXiv preprint arXiv:2107.00782 (2021) Browatzki, B., Wallraven, C.: 3FabRec: fast few-shot face alignment by reconstruction. In: Proceedings of the IEEE/CVF Conference on...
Attention The dataset folder must be named LEVIR,SYSU,CDD, or there will be issues with dataset loading. Citation @article{zhu2023edge, title={Edge-Guided Parallel Network for VHR Remote Sensing Image Change Detection}, author={Zhu, Ye and Lv, Kaikai and Yu, Yang and Xu, Wenjia}, journal...
On the other hand, edge maps produced by the perceptual edge branch are utilized in our proposed edge-aware smoothness loss and detail-preserved loss, which guide the model to pay more attention to regions with strong structural information. The whole model is trained in a joint way of ...
References Alshawi R, Hoque MT, Ferdaus MM, et al. 2023. Dual attention u-net with feature infusion: pushing the boundaries of multiclass defect segmentation. arXiv Preprint arXiv:2312.14053. (Open in a new window)Google Scholar Ba JL, Kiros JR, Hinton GE. 2016. Layer normalization.Stat...