DETR Does Not Need Multi-Scale or Locality Design-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

DETR Does Not Need Multi-Scale or Locality Design

Published:2023-10-01 Issue: Volume:33 Page:6522-6531
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
Short-container-title:

Author:

Lin Yutong¹,Yuan Yuhui²,Zhang Zheng²,Li Chen¹,Zheng Nanning¹,Hu Han²

Affiliation:

1. National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence

2. Microsoft Research Asia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377192.pdf?arnumber=10377192

Reference55 articles.

1. Beit: Bert pre-training of image transformers;Bao,2021

2. Language models are few-shot learners;Brown;Advances in neural information processing systems,2020

3. Cascade R-CNN: Delving Into High Quality Object Detection

4. End-to-End Object Detection with Transformers

5. Hybrid Task Cascade for Instance Segmentation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP