most citedPP-LiteSeg: A Superior Real-Time Semantic Segmentation Model

136 citations · 220 across the 5 of their papers we have counts for

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cs.CV2022★ 17 cited

PP-Matting: High-Accuracy Natural Image Matting

Guowei Chen, Yi Liu, Jian Wang +11

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 hav…

cs.CV2022★ 136 cited

PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model

Juncai Peng, Yi Liu, Shiyu Tang +13

Real-world applications have high demands for semantic segmentation methods. Although semantic segmentation has made remarkable leap-forwards with deep learning, the performance of…

cs.CV2021

PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset

Lutao Chu, Yi Liu, Zewu Wu +8

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 backg…

cs.CV2021★ 6 cited

EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow

Yuying Hao, Yi Liu, Zewu Wu +8

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 trainin…

cs.CV2021★ 61 cited

PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation

Yi Liu, Lutao Chu, Guowei Chen +4

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…