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This project provides an unofficial pytorch implementation of the RGB-D SOD method for 'Cross-Modal Weighting Network for RGB-D Salient Object Detection', ECCV 2020.

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lartpang/CMWNet.pytorch

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CMWNet.pytorch

This project link: https://github.com/lartpang/CMWNet.pytorch

This project provides an unofficial pytorch implementation of the RGB-D SOD method for 'Cross-Modal Weighting Network for RGB-D Salient Object Detection', ECCV 2020.

Environment

  • torch >= 1.5.0 for AMP.
  • torchvision
  • numpy
  • tqdm
  • opencv-python
  • pillow
  • py_sod_metrics for evaluating the results.

Usage

  1. Configure your datasets in dataset_config.py.
  2. Set hyperparameters in main.py.
  3. python main.py
  4. All results will be saved into the ckpt_path (see main.py).

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This project provides an unofficial pytorch implementation of the RGB-D SOD method for 'Cross-Modal Weighting Network for RGB-D Salient Object Detection', ECCV 2020.

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