| # BASNet: Boundary-Aware Salient Object Detection | |
| This repository is the unofficial implementation of the following paper. Please | |
| see the paper | |
| [BASNet: Boundary-Aware Salient Object Detection](https://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html) | |
| for more details. | |
| ## Requirements | |
| [](https://github.com/tensorflow/tensorflow/releases/tag/v2.4.0) | |
| [](https://www.python.org/downloads/release/python-379/) | |
| ## Train | |
| ```shell | |
| $ python3 train.py \ | |
| --experiment=basnet_duts \ | |
| --mode=train \ | |
| --model_dir=$MODEL_DIR \ | |
| --config_file=./configs/experiments/basnet_dut_gpu.yaml | |
| ``` | |
| ## Test | |
| ```shell | |
| $ python3 train.py \ | |
| --experiment=basnet_duts \ | |
| --mode=eval \ | |
| --model_dir=$MODEL_DIR \ | |
| --config_file=./configs/experiments/basnet_dut_gpu.yaml | |
| --params_override='runtime.num_gpus=1, runtime.distribution_strategy=one_device, task.model.input_size=[256, 256, 3]' | |
| ``` | |
| ## Results | |
| Dataset | maxF<sub>β</sub> | relaxF<sub>β</sub> | MAE | |
| :--------- | :--------------- | :------------------- | -------: | |
| DUTS-TE | 0.865 | 0.793 | 0.046 | |