Code for ACM MM2021 paper "Complementary Trilateral Decoder for Fast and Accurate Salient Object Detection"

CVTEAM

Last update: Oct 20, 2022

Related tags

Deep Learning salient-object-detection

Overview

CTDNet

The PyTorch code for ACM MM2021 paper "Complementary Trilateral Decoder for Fast and Accurate Salient Object Detection"

Requirements

Python 3.6
Pytorch 1.4+
OpenCV 4.0
Numpy
TensorboardX
Apex

Dataset

Download the SOD datasets and unzip them into data folder.

Train

cd src
python train.py

We implement our method by PyTorch and conduct experiments on a NVIDIA 1080Ti GPU.
We adopt pre-trained ResNet-18 and ResNet-50 as backbone networks, which are saved in res folder.
We train our method on DUTS-TR and test our method on other datasets.
After training, the trained models will be saved in out folder.

Test

cd src
python test.py

After testing, saliency maps will be saved in eval folder.

Results

CTDNet-18： saliency maps (提取码：b6ba)； trained model (提取码：ftmz）
CTDNet-50： saliency maps (提取码：j1zq)； trained model (提取码：ehvv）

Evaluation

    cd eval
    matlab main

We use MATLAB code to evaluate the performace of our method.

Reference

This project is based on the implementation of F3Net.

Comments

Testing without Mask

Hello! And thank you for your recent work, I do sincerely apologize for a silly question. I am new to the coding world, and was curious if it was possible to use your testing.py, without the mask requirement? That is, when using the test.py, it seems to be looking for a mask folder, from the dataset.py setup. Was hoping to compare a few complex images I do not have masks for to see how well it performs.

opened by LBNord 1
Invitation of merging CTDNet into MMSegmentation

Hi,

First congrats for acceptance of MM'21.

We are members of OpenMMLab and current segmentation codebase MMSegmentation is implementing task of salient object detection. Here is related PR, would you like to join us incorporating CTDNet into MMSegmentation? I think it would be very cool because many researchers and community members would be interested in it.

Best,

opened by MengzhangLI 1

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Code for ACM MM2021 paper "Complementary Trilateral Decoder for Fast and Accurate Salient Object Detection"

Related tags

Overview

CTDNet

Requirements

Dataset

Train

Test

Results

Evaluation

Reference

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Comments

Testing without Mask

Invitation of merging CTDNet into MMSegmentation

Owner

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