Lutao Chu
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View article: PP-Matting: High-Accuracy Natural Image Matting
PP-Matting: High-Accuracy Natural Image Matting Open
Natural image matting is a fundamental and challenging computer vision task. It has many applications in image editing and composition. Recently, deep learning-based approaches have achieved great improvements in image matting. However, mo…
View article: PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model Open
Real-world applications have high demands for semantic segmentation methods. Although semantic segmentation has made remarkable leap-forwards with deep learning, the performance of real-time methods is not satisfactory. In this work, we pr…
View article: PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset Open
As the COVID-19 pandemic rampages across the world, the demands of video conferencing surge. To this end, real-time portrait segmentation becomes a popular feature to replace backgrounds of conferencing participants. While feature-rich dat…
View article: PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale\n Teleconferencing Video Dataset
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale\n Teleconferencing Video Dataset Open
As the COVID-19 pandemic rampages across the world, the demands of video\nconferencing surge. To this end, real-time portrait segmentation becomes a\npopular feature to replace backgrounds of conferencing participants. While\nfeature-rich …
View article: EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow
EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow Open
High-quality training data play a key role in image segmentation tasks. Usually, pixel-level annotations are expensive, laborious and time-consuming for the large volume of training data. To reduce labelling cost and improve segmentation q…
View article: PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation
PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation Open
Image Segmentation plays an essential role in computer vision and image processing with various applications from medical diagnosis to autonomous car driving. A lot of segmentation algorithms have been proposed for addressing specific prob…
View article: The Sixth Visual Object Tracking VOT2018 Challenge Results
The Sixth Visual Object Tracking VOT2018 Challenge Results Open