WebJun 27, 2024 · GitHub - visionxiang/awesome-salient-object-detection: A curated list of awesome resources for salient object detection (SOD), focusing more on multi-modal SOD, such as RGB-D SOD. visionxiang / awesome-salient-object-detection Public Notifications Fork 0 Star 23 Code Actions Projects Insights main 1 branch 0 tags Code 26 commits WebOct 1, 2024 · Specifically, we introduce a perceptual edge branch to integrate edge features into the model and propose two edge-aware losses for edge guidance. Meanwhile, we gathered a general-purpose dataset for image stitching training …
End-to-End Boundary Aware Networks for Medical Image …
WebJan 12, 2024 · Abstract: We propose a depth estimation method from a single-shot monocular endoscopic image using Lambertian surface translation by domain adaptation … WebSep 1, 2024 · The proposed edge-aware deblur network (EADNet) has two phases, i.e., extracting high-frequency edge information and edge-aware deblurring. For each phase, we design a single subnet for the outputs. ... The third term is the edge loss, which is similar to the one for EdgeNet training and also based on the class-balanced cross-entropy loss. ... how is sorghum grown
Edge loss functions for deep-learning depth-map
WebAdditionally, edge-aware loss functions emphasize learning of the edge information during training by tuning the weights of the downstream encoder and regularizing the network to prioritize boundaries. We have validated the effectiveness of our approach on the task of brain tumor segmentation using the BraTS 2024 dataset. Our results indicate ... WebJul 6, 2024 · In this work, we propose a novel end-to-end edge-aware network, the EANet, and an edge-aware loss for getting accurate buildings from aerial images. Specifically, the architecture is composed... WebMay 26, 2024 · Edge awareness loss, which based on edge obtained by traditional Laplacian method instead of image, is proposed to strengthen the robustness of different lighting conditions. In addition, the computational cost of Laplacian edge is lower than that obtained by neural network. 2 Proposed method how is sorry played