All common RGB-D Saliency Datasets we collected are shared in ready-to-use manner.
Datasets | NJUD | DUT-RGBD | NLPR | SIP | STEREO | LFSD | RGBD135 | SSD |
---|---|---|---|---|---|---|---|---|
Size | 1985 | 1200 | 1000 | 929 | 797/1000 | 100 | 135 | 80 |
Publication | ICIP | ICCV | ECCV | arXiv | CVPR | CVPR | ICIMCS | ICCVW |
Download link | here | here | here | here | here/1000_ori | here | here | here |
- Tips: All data is uniformly resized to 256×256 for training purposes.
- Please cite our paper if you use our dataset (DUT-RGBD) in your research
@InProceedings{Piao_2019_ICCV,
author = {Yongri {Piao} and Wei {Ji} and Jingjing {Li} and Miao {Zhang} and Huchuan {Lu}},
title = {Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection},
booktitle = "ICCV",
year = {2019}
}
Metrics | * | * | * | * |
---|---|---|---|---|
E-measure | S-measure | F-measure | MAE | PR-curves |
Integration into a easy way. | * | * | * | The link is here |
- This Toolbox contains near all evaluation metrics for salient object detection including E-measure, S-measure, F-measure, MAE scores and PR curves or bar metrics.
If you have any questions, please contact us ( jiwei521@mail.dlut.edu.cn ).