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20192022
most citedPP-LiteSeg: A Superior Real-Time Semantic Segmentation Model

136 citations · 419 across the 10 of their papers we have counts for

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12 papers · 1 filter

cs.CV202214 cited

PP-StructureV2: A Stronger Document Analysis System

Chenxia Li, Ruoyu Guo, Jun Zhou +6

A large amount of document data exists in unstructured form such as raw images without any text information. Designing a practical document image analysis system is a meaningful bu…

cs.CV202226 cited

SVTR: Scene Text Recognition with a Single Visual Model

Yongkun Du, Zhineng Chen, Caiyan Jia +5

Dominant scene text recognition models commonly contain two building blocks, a visual model for feature extraction and a sequence model for text transcription. This hybrid architec…

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…

cs.CV202192 cited

PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices

Guanghua Yu, Qinyao Chang, Wenyu Lv +12

The better accuracy and efficiency trade-off has been a challenging problem in object detection. In this work, we are dedicated to studying key optimizations and neural network arc…

cs.CV202126 cited

PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System

Yuning Du, Chenxia Li, Ruoyu Guo +9

Optical Character Recognition (OCR) systems have been widely used in various of application scenarios. Designing an OCR system is still a challenging task. In previous work, we pro…