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

136 citations · 295 across the 13 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 1 cited

RAIS: Robust and Accurate Interactive Segmentation via Continual Learning

Yuying Hao, Yi Liu, Juncai Peng +5

Interactive image segmentation aims at segmenting a target region through a way of human-computer interaction. Recent works based on deep learning have achieved excellent performan…

cs.CV2022★ 25 cited

EISeg: An Efficient Interactive Segmentation Tool based on PaddlePaddle

Yuying Hao, Yi Liu, Yizhou Chen +7

In recent years, the rapid development of deep learning has brought great advancements to image and video segmentation methods based on neural networks. However, to unleash the ful…

cs.CV2022★ 5 cited

Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models

Xuhong Li, Haoyi Xiong, Yi Liu +4

While fine-tuning pre-trained networks has become a popular way to train image segmentation models, such backbone networks for image segmentation are frequently pre-trained using i…

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…