/C2DFNet

This is the official implementaion of paper "C2DFNet: Criss-Cross Dynamic Filter Network for RGB-D Salient Object Detection".

Primary LanguagePython

C2DFNet

This is the official implementaion of TMM 2022 paper "C2DFNet: Criss-Cross Dynamic Filter Network for RGB-D Salient Object Detection".

Miao Zhang, Shunyu Yao, Beiqi Hu, Yongri Piao, Wei Ji.

Prerequisites

  • Ubuntu 16
  • PyTorch 1.10.0
  • CUDA 11.3
  • Python 3.8

Training and Testing Datasets

Training dataset

Testing dataset

Testing

Download pretrained model from here. Code: qcra

  • Modify your path of testing dataset in test.py
  • Run test.py to inference saliency maps
  • Saliency maps generated from the model can be downnloaded from here. Code: hp32
python test.py

Contact and Questions

Contact: Shunyu Yao. Email: yao_shunyu@foxmail.com or ysyfeverfew@mail.dlut.edu.cn