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Basnet: Boundary-aware salient object detection
Abstract Deep Convolutional Neural Networks have been adopted for salient object
detection and achieved the state-of-the-art performance. Most of the previous works …
detection and achieved the state-of-the-art performance. Most of the previous works …
Boundary-aware segmentation network for mobile and web applications
Although deep models have greatly improved the accuracy and robustness of image
segmentation, obtaining segmentation results with highly accurate boundaries and fine …
segmentation, obtaining segmentation results with highly accurate boundaries and fine …
PMJAF-Net: Pyramidal multi-scale joint attention and adaptive fusion network for explainable skin lesion segmentation
H Li, P Zeng, C Bai, W Wang, Y Yu, P Yu - Computers in Biology and …, 2023 - Elsevier
Traditional convolutional neural networks have achieved remarkable success in skin lesion
segmentation. However, the successive pooling operations and convolutional spans reduce …
segmentation. However, the successive pooling operations and convolutional spans reduce …
Bylabel: A boundary based semi-automatic image annotation tool
This paper presents a novel boundary based semiautomatic tool, ByLabel, for accurate
image annotation. Given an image, ByLabel first detects its edge features and computes …
image annotation. Given an image, ByLabel first detects its edge features and computes …
Residual attentive feature learning network for salient object detection
Salient object detection is one of the basic challenging problems in the area of computer
vision. Traditional saliency models usually utilize handcrafted features and various prior …
vision. Traditional saliency models usually utilize handcrafted features and various prior …
Weakly-supervised saliency detection via salient object subitizing
Salient object detection aims at detecting the most visually distinct objects and producing the
corresponding masks. As the cost of pixel-level annotations is high, image tags are usually …
corresponding masks. As the cost of pixel-level annotations is high, image tags are usually …
MAFNet: Multi-style attention fusion network for salient object detection
Y Liang, G Qin, M Sun, J Yan, H Jiang - Neurocomputing, 2021 - Elsevier
Salient object detection based on deep learning has become one of the research hotspots in
computer vision. How to effectively extract useful information is a key issue for saliency …
computer vision. How to effectively extract useful information is a key issue for saliency …
MCGFF-Net: a multi-scale context-aware and global feature fusion network for enhanced polyp and skin lesion segmentation
Y Li, W Meng, D Ma, S Xu, X Zhu - The Visual Computer, 2024 - Springer
Accurate segmentation of polyps and skin lesions is crucial for clinical diagnosis. While
many UNet-based methods have made significant progress, challenges such as variations …
many UNet-based methods have made significant progress, challenges such as variations …
Data and model uncertainty aware salient object detection
In general, salient object detection (SOD) datasets have ambiguity due to annotation
accuracy and human subjectivity in determining saliency. Since this data uncertainty causes …
accuracy and human subjectivity in determining saliency. Since this data uncertainty causes …
Semantic and detail collaborative learning network for salient object detection
Y Liang, G Qin, M Sun, J Qin, J Yan, Z Zhang - Neurocomputing, 2021 - Elsevier
To obtain more accurate saliency maps, current methods mainly focus on aggregating multi-
level features with structures like U-Net and introducing edge information as auxiliary …
level features with structures like U-Net and introducing edge information as auxiliary …