CenterFormer: Center-Based Transformer for 3D Object Detection-Reference-Cited by-同舟云学术

CenterFormer: Center-Based Transformer for 3D Object Detection

Published:2022 Issue: Volume: Page:496-513
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Zhou Zixiang,Zhao Xiangchen,Wang Yu,Wang Panqu,Foroosh Hassan

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19839-7_29

Reference62 articles.

1. Bewley, A., Sun, P., Mensink, T., Anguelov, D., Sminchisescu, C.: Range conditioned dilated convolutions for scale invariant 3d object detection. In: CoRL (2021)

2. Bowen, C., Alexander, G.S., Alexander, K.: Per-pixel classification is not all you need for semantic segmentation. In: NeurIPS (2021)

3. Caesar, H., et al.: nuscenes: A multimodal dataset for autonomous driving. In: CVPR (2020)

4. Lecture Notes in Computer Science;N Carion,2020

5. Lecture Notes in Computer Science;S Cheng,2020

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