Re-distributing Biased Pseudo Labels for Semi-supervised Semantic
Segmentation: A Baseline Investigation

Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation

23 July 2021

Xiaojuan Qi

Papers citing "Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation"

7 / 57 papers shown

Title
ParseNet: Looking Wider to See Better Wei Liu Andrew Rabinovich Alexander C. Berg SSeg 84 1,210 0 15 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 974 76,547 0 18 May 2015
Efficient piecewise training of deep structured models for semantic segmentation Guosheng Lin Chunhua Shen Anton van dan Hengel Ian Reid VLM SSeg 96 923 0 04 Apr 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 153 19,448 0 09 Mar 2015
Convolutional Feature Masking for Joint Object and Stuff Segmentation Jifeng Dai Kaiming He Jian Sun SSeg 63 443 0 03 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 189 43,290 0 01 May 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 93 4,999 0 21 Dec 2013