Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts-Reference-Cited by-同舟云学术

Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts

Published:2020-07-24 Issue:12 Volume:128 Page:2979-2999
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Rahman Shafin^ORCID,Khan Salman H.,Porikli Fatih

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s11263-020-01355-6.pdf

Reference66 articles.

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3. Akata, Z., Reed, S., Walter, D., Lee, H., & Schiele, B. (2015). Evaluation of output embeddings for fine-grained image classification. In Proceedings of the IEEE computer society conference on computer vision and pattern recognition, 07–12 June-2015 (pp. 2927–2936). https://doi.org/10.1109/CVPR.2015.7298911.

4. Al-Halah, Z., Tapaswi, M., & Stiefelhagen, R. (2016). Recovering the missing link: Predicting class-attribute associations for unsupervised zero-shot learning. In The IEEE conference on computer vision and pattern recognition (CVPR).

5. Bansal, A., Sikka, K., Sharma, G., Chellappa, R., & Divakaran, A. (2018). Zero-shot object detection. In The European conference on computer vision (ECCV).

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