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Article
Camouflaged object detection based on context-aware and boundary refinement
Camouflaged Object Detection (COD) has been increasingly studied and the detection performance has been greatly improved based on deep learning models in recent years. However, the context and boundary informa...
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Article
Attention-based context aggregation network for monocular depth estimation
Depth estimation is a traditional computer vision task, which plays a crucial role in understanding 3D scene geometry. Recently, algorithms that combine the multi-scale features extracted by the dilated convol...
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Article
Fuzzy Control Under Time-Varying Universe and Phase Optimization in Traffic Lights (ICSSE 2020)
As the pace of life accelerates, people are troubled by spending too much time on commuting, and people’s waiting time for travel can be reduced by reasonable strategy of traffic control. Previous research on ...
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Article
Discrete convolutional CRF networks for depth estimation from monocular infrared images
Predicting the depth of a scene from monocular infrared images, which plays a crucial role in understanding three-dimensional structures, is one of the challenging tasks in machine learning and computer vision...