Paper Summaries

This repo consists of research paper and their corresponding summary and other necessary resources.

List of research papers and their corresponding summary and other necessary resources.

Semi-Supervised Learning:

1. Pseudo-Label: The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks. [Paper]{:target="_blank"} [Summary]{:target="_blank"}, ICML 2013 Workshop
2. Universal Semi-Supervised Semantic Segmentation [Paper]{:target="_blank"} [Summary]{:target="_blank"}, ICCV 2019

Segmentation:

1. Decoupled Deep Neural Network for Semi-Supervised Semantic Segmentation. [Paper]{:target="_blank"} [Summary]{:target="_blank"}, NeurIPS 2015

2. Learning Deconvolution Network for Semantic Segmentation [Paper]{:target="_blank"} [Summary]{:target="_blank"}, CVPR 2015

3. SegNet [Paper]{:target="_blank"} [Summary]{:target="_blank"}, IPAMI 2015

Self-Training:

1. Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training.[Paper]{:target='_blank'} [Summary]{:target="_blank"}, ECCV 2018