Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph Generation-Reference-Cited by-同舟云学术

Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph Generation

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Li Xingchen¹,Chen Long²,Ma Wenbo¹,Yang Yi¹,Xiao Jun³

Affiliation:

1. Zhejiang University, Hangzhou, China

2. Columbia University, New York, NY, USA

3. Zhejiang University, Hangzhou , China

Funder

the National Key Research & Development Project of China

Zhejiang Innovation Foundation

Zhejiang Natural Science Foundation

the National Natural Science Foundation of China

the Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548164

Reference54 articles.

1. The Open Images Dataset V4

2. Long Chen Zhihong Jiang Jun Xiao and Wei Liu. 2021. Human-like controllable image captioning with verb-specific semantic roles. In CVPR. 16846--16856. Long Chen Zhihong Jiang Jun Xiao and Wei Liu. 2021. Human-like controllable image captioning with verb-specific semantic roles. In CVPR. 16846--16856.

3. Long Chen , Wenbo Ma , Jun Xiao , Hanwang Zhang , and Shih-Fu Chang . 2021 . Refnms: Breaking proposal bottlenecks in two-stage referring expression grounding . In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 35 . 1036--1044. Long Chen, Wenbo Ma, Jun Xiao, Hanwang Zhang, and Shih-Fu Chang. 2021. Refnms: Breaking proposal bottlenecks in two-stage referring expression grounding. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 35. 1036--1044.

4. Counterfactual Critic Multi-Agent Training for Scene Graph Generation

5. SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning

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