ALWOD: Active Learning for Weakly-Supervised Object Detection

ALWOD: Active Learning for Weakly-Supervised Object Detection

14 September 2023

Vladimir Pavlovic

Papers citing "ALWOD: Active Learning for Weakly-Supervised Object Detection"

5 / 5 papers shown

Title
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
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 223 966 0 13 Dec 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,275 0 06 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 252 9,134 0 06 Jun 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,190 0 01 Sep 2014