├── .gitignore ├── EffectiveReceptiveField ├── Dilated-Convolutions.md ├── Effective-receptive-field.md ├── Methods-for-increasing-the-field-of-view.md ├── analysis │ ├── effective_receptive_field.py │ ├── evaluation.py │ ├── example_erf.py │ ├── example_evaluation.py │ └── prediction.py ├── effective_receptive_field.py ├── example_erf.py ├── images │ ├── 2_dilated_convolution.png │ ├── conv_conv.png │ ├── dilation_conv.png │ ├── eq_convolution.png │ ├── eq_dilated_convolution.png │ ├── erf │ │ ├── dNet_erf_8.png │ │ ├── rNet_erf_8.png │ │ ├── uNet_aspp_erf_8.png │ │ └── uNet_erf_8.png │ ├── pool_conv.png │ ├── predictions │ │ ├── prediction_dNet.png │ │ ├── prediction_rNet.png │ │ ├── prediction_uNet.png │ │ └── prediction_uNet_aspp.png │ └── stride_conv.png ├── networks │ ├── blocks │ │ ├── aspp_block.py │ │ ├── conv_block.py │ │ └── residual_block.py │ ├── dnet.py │ ├── rNet.py │ ├── trainNetwork.py │ ├── uNet3.py │ └── uNet_aspp.py ├── train.py └── util │ ├── array_utils.py │ ├── callbacks.py │ ├── data_loader.py │ ├── losses.py │ ├── metrics.py │ └── tf_utils.py ├── Imbalance ├── README.md └── imgs │ └── taxonomy.png ├── LICENSE ├── Labels ├── imgs │ └── 0001.jpg ├── learning-with-noisy-labels.md ├── noise.md ├── readme.md └── why-use-cross-entropy-error-for-loss-function.md ├── Object_Detection.md ├── README.md ├── Robust ├── readme.md └── robust_loss_pytorch │ ├── README.md │ ├── example.ipynb │ ├── robust_loss_pytorch │ ├── __init__.py │ ├── adaptive.py │ ├── cubic_spline.py │ ├── distribution.py │ ├── general.py │ ├── resources │ │ ├── __init__.py │ │ └── partition_spline.npz │ ├── util.py │ └── wavelet.py │ ├── setup.py │ └── tests │ ├── adaptive_test.py │ ├── cubic_spline_test.py │ ├── distribution_test.py │ ├── general_test.py │ ├── resources │ ├── wavelet_golden.mat │ └── wavelet_vis_golden.png │ ├── util_test.py │ └── wavelet_test.py ├── Tricks ├── AnchorFree.md ├── README.md ├── img │ └── 0.png ├── smallObject.md └── tricks01.md ├── algo └── readme.md ├── anchor └── anchorDaseVSanchorFree.md ├── loss ├── AnchorLoss │ ├── README.md │ └── anchor_loss.py ├── Class-balanced-loss-pytorch │ ├── LICENSE │ ├── README.md │ ├── class_balanced_loss.py │ ├── image.png │ ├── loss.png │ └── samples.png └── readme.md ├── tracking ├── doc.md ├── imgs │ ├── 001.jpg │ ├── 002.jpg │ ├── 003.jpg │ ├── 004.jpg │ ├── 005.jpg │ ├── 006.jpg │ ├── 007.jpg │ ├── 008.jpg │ ├── 009.jpg │ ├── 010.jpg │ ├── 011.svg │ ├── 012.svg │ ├── 013.jpg │ ├── 014.svg │ ├── 015.svg │ ├── 016.svg │ ├── 017.svg │ └── 018.svg └── readme.md └── twoStage └── readme.md /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ForrestPi/ObjectDetectionTricks/HEAD/.gitignore -------------------------------------------------------------------------------- /EffectiveReceptiveField/Dilated-Convolutions.md: -------------------------------------------------------------------------------- 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