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 …

Although deep models have greatly improved the accuracy and robustness of image
segmentation, obtaining segmentation results with highly accurate boundaries and fine …

Traditional convolutional neural networks have achieved remarkable success in skin lesion
segmentation. However, the successive pooling operations and convolutional spans reduce …

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 …

地面机器人由于其工作空间的限制, 对环境感知存在较大局限性, 结合空中机器人在视角方面的
优势, 实现空地机器人协作是主流趋势. 本文提出了一种基于无人机视觉SLAM …

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 …

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 …

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 …

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 …

In general, salient object detection (SOD) datasets have ambiguity due to annotation
accuracy and human subjectivity in determining saliency. Since this data uncertainty causes …