61 citations · 70 across the 4 of their papers we have counts for
4 papers
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…
NOTE: Solution for KDD-CUP 2021 WikiKG90M-LSC
Weiyue Su, Zeyang Fang, Hui Zhong +6
WikiKG90M in KDD Cup 2021 is a large encyclopedic knowledge graph, which could benefit various downstream applications such as question answering and recommender systems. Participa…
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…
SecureGBM: Secure Multi-Party Gradient Boosting
Zhi Fengy, Haoyi Xiong, Chuanyuan Song +7
Federated machine learning systems have been widely used to facilitate the joint data analytics across the distributed datasets owned by the different parties that do not trust eac…