├── Datasets ├── Eye_Fixation_Test_MIT300.lst ├── Eye_Fixation_Test_SALICON.lst ├── Eye_Fixation_Train_DUT-OMRON.lst ├── Eye_Fixation_Train_MIT1003.lst ├── Eye_Fixation_Train_PASCAL-S.lst ├── Eye_Fixation_Train_SALICON.lst ├── Eye_Fixation_Train_TORONTO.lst ├── Eye_Fixation_Val_MIT1003.lst ├── Eye_Fixation_Val_SALICON.lst ├── MIT300 │ └── BenchmarkIMAGES │ │ ├── i1.jpg │ │ ├── i2.jpg │ │ ├── i3.jpg │ │ ├── i4.jpg │ │ └── i5.jpg └── PseudoSaliency │ ├── Images │ └── ECSSD │ │ └── images │ │ ├── 0001.jpg │ │ ├── 0002.jpg │ │ ├── 0003.jpg │ │ ├── 0004.jpg │ │ └── 0005.jpg │ ├── LICENSE │ ├── PseudoSaliency.md │ ├── Train_List_PseudoSaliency.lst │ ├── Val_List_PseudoSaliency.lst │ └── demo_check_all_files.py ├── FBLoss.py ├── Figs ├── efficiency.png ├── mean_sal.png ├── mit300_leaderboard_sAUC_20211210.png ├── performance123.png ├── performance4.png ├── performance5.png ├── pseudo-saliency.png ├── salfbnet.png └── visualization.png ├── LICENSE ├── README.md ├── dataset.py ├── environment.yml ├── loss_utils.py ├── main_test.py ├── networks ├── FeedBackNet.py ├── FeedBackNet_Res18Fixed.py ├── __init__.py ├── __pycache__ │ ├── FeedBackNet.cpython-38.pyc │ ├── FeedBackNet_Res18Fixed.cpython-38.pyc │ ├── __init__.cpython-38.pyc │ ├── model_utils.cpython-38.pyc │ └── resnetfixed.cpython-38.pyc ├── model_utils.py └── resnetfixed.py ├── pretrained_models └── Put_Downloaded_Models_Here ├── run_test.sh ├── solver.py └── utils_fixation.py /Datasets/Eye_Fixation_Test_MIT300.lst: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gqding/SalFBNet/HEAD/Datasets/Eye_Fixation_Test_MIT300.lst -------------------------------------------------------------------------------- /Datasets/Eye_Fixation_Test_SALICON.lst: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gqding/SalFBNet/HEAD/Datasets/Eye_Fixation_Test_SALICON.lst 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