C2DFNet

This is the official implementation 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

• Download Link. Code: 0fj8

Testing dataset

• Download Link. Code: f7vk

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