ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers

13 September 2022

Bernt Schiele

Papers citing "ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers"

3 / 3 papers shown

Title
UFO $^2$ : A Unified Framework towards Omni-supervised Object Detection Zhongzheng Ren Zhiding Yu Xiaodong Yang Ming-Yu Liu A. Schwing Jan Kautz ObjD 193 35 0 21 Oct 2020
Solving Missing-Annotation Object Detection with Background Recalibration Loss Han Zhang Fangyi Chen Zhiqiang Shen Qiqi Hao Chenchen Zhu Marios Savvides ObjD 135 52 0 12 Feb 2020
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