DUpsampling

This repo is an unofficial pytorch implementation of CVPR19 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation: https://arxiv.org/abs/1903.02120

Installation

pytorch==0.4.1
python==3.5
numpy
torchvision
matplotlib
opencv-python
dominate
random
collections
shutil

Dataset and pretrained model

Plesae download VOC12_aug dataset and unzip the dataset into data, and modify your configuration in options/base options.py.

Usage

bash train.sh

Segmentation results on val set

To do

Add softmax with temperature
Modify the network and improve the accuracy

under construction...