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

136 citations · 201 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV202225 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.CV202220 cited

U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense Prediction

Jian Wang, Xiang Long, Guowei Chen +3

High resolution and advanced semantic representation are both vital for dense prediction. Empirically, low-resolution feature maps often achieve stronger semantic representation, a…

cs.CL20223 cited

Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning

Huijuan Wang, Siming Dai, Weiyue Su +7

Relational graph neural networks have garnered particular attention to encode graph context in knowledge graphs (KGs). Although they achieved competitive performance on small KGs,…

cs.CV202217 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.CV2022136 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…