Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection-Reference-Cited by-同舟云学术

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Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection

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

Fang Yuxin¹,Yang Shusheng¹,Wang Shijie¹,Ge Yixiao²,Shan Ying²,Wang Xinggang¹

Affiliation:

1. Huazhong University of Science & Technology,School of EIC

2. Tencent AI Lab

Funder

Research and Development

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376586.pdf?arnumber=10376586

Reference66 articles.

1. Xcit: Cross-covariance image transformers;Ali;NeurIPS,2021

2. Layer normalization;Ba,2016

3. MultiMAE: Multi-modal Multi-task Masked Autoencoders

4. Data2vec: A general framework for self-supervised learning in speech, vision and language;Baevski,2022

5. Beit: Bert pre-training of image transformers;Bao

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4. Drone-Based Visible–Thermal Object Detection with Transformers and Prompt Tuning;Drones;2024-09-01

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