Search Results for author: Riquan Chen

Found 6 papers, 2 papers with code

Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition

no code implementations20 Sep 2020 Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu

The framework exploits prior knowledge to guide adaptive information propagation among different categories to facilitate multi-label analysis and reduce the dependency of training samples.

Few-Shot Learning Multi-label Image Recognition with Partial Labels

Knowledge Graph Transfer Network for Few-Shot Recognition

1 code implementation21 Nov 2019 Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin

In this work, we represent the semantic correlations in the form of structured knowledge graph and integrate this graph into deep neural networks to promote few-shot learning by a novel Knowledge Graph Transfer Network (KGTN).

Few-Shot Image Classification Few-Shot Learning +2

Knowledge-Embedded Routing Network for Scene Graph Generation

3 code implementations CVPR 2019 Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin

More specifically, we show that the statistical correlations between objects appearing in images and their relationships, can be explicitly represented by a structured knowledge graph, and a routing mechanism is learned to propagate messages through the graph to explore their interactions.

Graph Generation Scene Graph Generation

Neural Task Planning with And-Or Graph Representations

no code implementations25 Aug 2018 Tianshui Chen, Riquan Chen, Lin Nie, Xiaonan Luo, Xiaobai Liu, Liang Lin

This paper focuses on semantic task planning, i. e., predicting a sequence of actions toward accomplishing a specific task under a certain scene, which is a new problem in computer vision research.

Common Sense Reasoning valid

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