A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection-Reference-Cited by-同舟云学术

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A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Zhang Dingyuan¹,Liang Dingkang¹,Zou Zhikang²,Li Jingyu¹,Ye Xiaoqing²,Liu Zhe¹,Tan Xiao²,Bai Xiang¹

Affiliation:

1. Huazhong University of Science and Technology

2. Baidu Inc.,China

Funder

National Science Fund for Distinguished Young Scholars

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378639.pdf?arnumber=10378639

Reference50 articles.

1. End-to-End Object Detection with Transformers

2. Points as Queries: Weakly Semi-supervised Object Detection by Points

3. An image is worth 16x16 words: Transformers for image recognition at scale;Dosovitskiy

4. An image is worth 16x16 words: Transformers for image recognition at scale;Dosovitskiy

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1. Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey;Information Fusion;2025-01

2. DenseSphere: Multimodal 3D object detection under a sparse point cloud based on spherical coordinate;Expert Systems with Applications;2024-10

3. Geometric relation-based feature aggregation for 3D small object detection;Applied Intelligence;2024-07-06

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