226 citations · 627 across the 11 of their papers we have counts for
11 papers
HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding
Hanzhuo Tan, Chunpu Xu, Jing Li +4
Natural language understanding (NLU) is integral to various social media applications. However, existing NLU models rely heavily on context for semantic learning, resulting in comp…
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…
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…
PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System
Chenxia Li, Weiwei Liu, Ruoyu Guo +9
Optical character recognition (OCR) technology has been widely used in various scenes, as shown in Figure 1. Designing a practical OCR system is still a meaningful but challenging…
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…
PP-YOLOE: An evolved version of YOLO
Shangliang Xu, Xinxin Wang, Wenyu Lv +8
In this report, we present PP-YOLOE, an industrial state-of-the-art object detector with high performance and friendly deployment. We optimize on the basis of the previous PP-YOLOv…
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…
PP-MSVSR: Multi-Stage Video Super-Resolution
Lielin Jiang, Na Wang, Qingqing Dang +2
Different from the Single Image Super-Resolution(SISR) task, the key for Video Super-Resolution(VSR) task is to make full use of complementary information across frames to reconstr…
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…
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…
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…