Enhanced Transformer Interaction Components for Human-Object Interaction Detection-Reference-Cited by-同舟云学术

Enhanced Transformer Interaction Components for Human-Object Interaction Detection

Published:2023-10-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM Symposium on Spatial User Interaction
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Author:

Zhang Jinhui¹^ORCID,Zhao Yuxiao¹^ORCID,Zhang Xian¹^ORCID,Wang Xiang¹^ORCID,Zhao Yuxuan¹^ORCID,Wang Peng¹^ORCID,Hu Jian¹^ORCID

Affiliation:

1. NARI Group Corporation (State Grid Electric Power Research Institute), China and China Realtime Database Co., Ltd., China

Funder

Research and application of key technology of management digitalization based on data center

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3607822.3616409

Reference39 articles.

1. End-to-End Object Detection with Transformers

2. Yu-Wei Chao , Yunfan Liu , Xieyang Liu , Huayi Zeng , and Jia Deng . 2018. Learning to detect human-object interactions. In 2018 ieee winter conference on applications of computer vision (wacv) . IEEE , 381–389. Yu-Wei Chao, Yunfan Liu, Xieyang Liu, Huayi Zeng, and Jia Deng. 2018. Learning to detect human-object interactions. In 2018 ieee winter conference on applications of computer vision (wacv). IEEE, 381–389.

3. Yun Du , Dong Liang , Rong Quan , Songlin Du , and Yaping Yan . 2022 . More Than Accuracy: An Empirical Study of Consistency Between Performance and Interpretability. In Pacific Rim International Conference on Artificial Intelligence. Springer, 579–590 . Yun Du, Dong Liang, Rong Quan, Songlin Du, and Yaping Yan. 2022. More Than Accuracy: An Empirical Study of Consistency Between Performance and Interpretability. In Pacific Rim International Conference on Artificial Intelligence. Springer, 579–590.

4. Pairwise Body-Part Attention for Recognizing Human-Object Interactions

5. DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection