Omni-DETR: Omni-Supervised Object Detection with Transformers

Omni-DETR: Omni-Supervised Object Detection with Transformers

30 March 2022

Gurumurthy Swaminathan

Nuno Vasconcelos

Bernt Schiele

Papers citing "Omni-DETR: Omni-Supervised Object Detection with Transformers"

8 / 8 papers shown

Title
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 31 19 0 25 Jul 2023
Adaptive Self-Training for Object Detection Renaud Vandeghen Gilles Louppe Marc Van Droogenbroeck ObjD 30 7 0 07 Dec 2022
Learning Object-Language Alignments for Open-Vocabulary Object Detection Chuang Lin Pei Sun Yi-Xin Jiang Ping Luo Lizhen Qu Gholamreza Haffari Zehuan Yuan Jianfei Cai VLM ObjD 18 95 0 27 Nov 2022
1st Place Solutions for the UVO Challenge 2022 Jiajun Zhang Boyu Chen Zhilong Ji Jinfeng Bai Zonghai Hu 17 1 0 18 Oct 2022
Grounded Language-Image Pre-training Liunian Harold Li Pengchuan Zhang Haotian Zhang Jianwei Yang Chunyuan Li ... Lu Yuan Lei Zhang Jenq-Neng Hwang Kai-Wei Chang Jianfeng Gao ObjD VLM 29 1,018 0 07 Dec 2021
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 199 243 0 14 Jun 2018
CrowdHuman: A Benchmark for Detecting Human in a Crowd Shuai Shao Zijian Zhao Boxun Li Tete Xiao Gang Yu Xiangyu Zhang Jian-jun Sun 222 675 0 30 Apr 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017