Interpolation-based semi-supervised learning for object detection

3 June 2020

Papers citing "Interpolation-based semi-supervised learning for object detection"

9 / 9 papers shown

Title
Mixed Pseudo Labels for Semi-Supervised Object Detection Ze-Yi Chen Wenwei Zhang Xinjiang Wang Kai Chen Zhi Wang ObjD 26 10 0 12 Dec 2023
Refining the ONCE Benchmark with Hyperparameter Tuning Maksim Golyadkin Alexander Gambashidze Ildar Nurgaliev Ilya Makarov 18 1 0 10 Nov 2023
Active Teacher for Semi-Supervised Object Detection Peng Mi Jianghang Lin Yiyi Zhou Yunhang Shen Gen Luo Xiaoshuai Sun Liujuan Cao Rongrong Fu Qiang Xu Rongrong Ji 50 60 0 15 Mar 2023
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 30 112 0 24 Aug 2022
Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations Yongtao Ge Qiang-feng Zhou Xinlong Wang Zhibin Wang Hao Li Chunhua Shen 3DPC 18 16 0 01 Jun 2022
SIOD: Single Instance Annotated Per Category Per Image for Object Detection Hanjun Li Xingjia Pan Ke Yan Fan Tang Weihao Zheng 25 17 0 29 Mar 2022
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training Fangyuan Zhang Tianxiang Pan Bin Wang 26 54 0 11 Jul 2021
Humble Teachers Teach Better Students for Semi-Supervised Object Detection Yihe Tang Weifeng Chen Yijun Luo Yuting Zhang 23 177 0 19 Jun 2021
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