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Omni-DETR: Omni-Supervised Object Detection with Transformers

Omni-DETR: Omni-Supervised Object Detection with Transformers

30 March 2022
Pei Wang
Zhaowei Cai
Hao Yang
Gurumurthy Swaminathan
Nuno Vasconcelos
Bernt Schiele
Stefano Soatto
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Papers citing "Omni-DETR: Omni-Supervised Object Detection with Transformers"

5 / 5 papers shown
Title
Towards Unifying Anatomy Segmentation: Automated Generation of a
  Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines
A. Jaus
C. Seibold
Kelsey Hermann
Alexandra Walter
K. Giske
Johannes Haubold
Jens Kleesiek
Rainer Stiefelhagen
28
19
0
25 Jul 2023
1st Place Solutions for the UVO Challenge 2022
1st Place Solutions for the UVO Challenge 2022
Jiajun Zhang
Boyu Chen
Zhilong Ji
Jinfeng Bai
Zonghai Hu
12
1
0
18 Oct 2022
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
191
243
0
14 Jun 2018
CrowdHuman: A Benchmark for Detecting Human in a Crowd
CrowdHuman: A Benchmark for Detecting Human in a Crowd
Shuai Shao
Zijian Zhao
Boxun Li
Tete Xiao
Gang Yu
Xiangyu Zhang
Jian-jun Sun
211
670
0
30 Apr 2018
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
244
1,276
0
06 Mar 2017
1