Zero-Shot Object Detection by Semantics-Aware DETR with Adaptive Contrastive Loss-Reference-Cited by-同舟云学术

Zero-Shot Object Detection by Semantics-Aware DETR with Adaptive Contrastive Loss

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Liu Huan¹^ORCID,Zhang Lu¹^ORCID,Guan Jihong²^ORCID,Zhou Shuigeng¹^ORCID

Affiliation:

1. Fudan University, Shanghai, China

2. Tongji University, Shanghai, China

Funder

National Natural Science Foudnation of China (NSFC)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612523

Reference59 articles.

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2. Abhijit Bendale and Terrance E . Boult . 2016 . Towards Open Set Deep Networks. In Computer Vision and Pattern Recognition (CVPR). IEEE , 1563--1572. Abhijit Bendale and Terrance E. Boult. 2016. Towards Open Set Deep Networks. In Computer Vision and Pattern Recognition (CVPR). IEEE, 1563--1572.

3. Zhaowei Cai and Nuno Vasconcelos. 2018. Cascade R-CNN: Delving Into High Quality Object Detection.. In Computer Vision and Pattern Recognition (CVPR). 6154--6162. Zhaowei Cai and Nuno Vasconcelos. 2018. Cascade R-CNN: Delving Into High Quality Object Detection.. In Computer Vision and Pattern Recognition (CVPR). 6154--6162.

4. End-to-End Object Detection with Transformers

5. Soravit Changpinyo Wei-Lun Chao Boqing Gong and Fei Sha. 2016. Synthesized Classifiers for Zero-Shot Learning. In Computer Vision and Pattern Recognition (CVPR). 5327--5336. Soravit Changpinyo Wei-Lun Chao Boqing Gong and Fei Sha. 2016. Synthesized Classifiers for Zero-Shot Learning. In Computer Vision and Pattern Recognition (CVPR). 5327--5336.

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