Fully Convolutional Siamese Network for Scene Change Detection
Requirements
- Python2.7
- Pytorch0.2.0_3 (see: pytorch installation instuctions)
- torchvision
Datasets
This repo is built for scene change detection. We report the performance on three datasets.
-
PCD2015 dataset
-
paper: Change detection from a street image pair using cnn features and superpixel segmentation
-
dataset: http://www.vision.is.tohoku.ac.jp/us/research/4d_city_modeling/pano_cd_dataset/
-
VL_CMU_CD dataset
-
paper: Street-view change detection with deconvolutional networks
-
CD2014 dataset
-
paper: changedetection.net: A new change detection benchmark dataset
-
dataset: http://changedetection.net/
06/12/2018 update
We have uploaded the modified CD2014 dataset to [baiduyun][googledrive], if you find cd2014 dataset is useful for your research, please cite the paper:
@inproceedings{Goyette2012changedetection,
title={changedetection.net: A New Change Detection Benchmark Dataset},
author={Goyette, Nil and Jodoin, Pierre Marc and Porikli, Fatih and Konrad, Janusz and Ishwar, Prakash},
booktitle={Computer Vision and Pattern Recognition Workshops},
pages={1-8},
year={2012},
}
Directory Structure
File Structure is as follows:
$T0_image_path/*.jpg
$T1_image_path/*.jpg
$ground_truth_path/*.jpg
Pretrained Model
Backbone model, which is deeplabv2 [baiduyun] [googledriver]in our work, is available, you should download it and put it to /pretrain
Pretrained models for PCD2015 and VL_CMU_CD also have been available.
- PCD2015: [baiduyun] [googledrive]
- VL_CMU_CD: [baiduyun] [googledrive]
Training
cd $SCD_ROOT
python train.py