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20212023
most citedPP-LiteSeg: A Superior Real-Time Semantic Segmentation Model

136 citations · 281 across the 9 of their papers we have counts for

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Showing 2022 · cs.CVShow all

5 papers · 2 filters

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★ 20 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.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…