Search Results for author: Ruijie Yao

Found 2 papers, 2 papers with code

UniFS: Universal Few-shot Instance Perception with Point Representations

1 code implementation30 Apr 2024 Sheng Jin, Ruijie Yao, Lumin Xu, Wentao Liu, Chen Qian, Ji Wu, Ping Luo

In this paper, we propose UniFS, a universal few-shot instance perception model that unifies a wide range of instance perception tasks by reformulating them into a dynamic point representation learning framework.

Few-Shot Learning Few-Shot Object Detection +4

GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition

1 code implementation28 Aug 2023 Ruijie Yao, Sheng Jin, Lumin Xu, Wang Zeng, Wentao Liu, Chen Qian, Ping Luo, Ji Wu

Multi-Label Image Recognition (MLIR) is a challenging task that aims to predict multiple object labels in a single image while modeling the complex relationships between labels and image regions.

graph construction Multi-Label Classification +1

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