├── .gitignore ├── D#0001-undefined_reference_to_XXX ├── D#0001.md ├── code │ ├── bar.cpp │ ├── bar.h │ ├── baz.c │ ├── baz.h │ ├── foo.cpp │ ├── foo.h │ ├── main.cpp │ ├── qux.cpp │ └── qux.h └── images │ ├── Selection_175.png │ ├── Selection_176.png │ ├── Selection_177.png │ ├── Selection_178.png │ ├── Selection_179.png │ ├── Selection_180.png │ ├── Selection_181.png │ ├── Selection_182.png │ ├── Selection_184.png │ ├── Selection_185.png │ ├── Selection_186.png │ ├── Selection_187.png │ └── Selection_188.png ├── D#0002-hack_your_printf ├── D#0002.md ├── code │ ├── 3rd_lib.cpp │ ├── 3rd_lib.h │ ├── lib3rd_new.so │ ├── main.cpp │ ├── main2.cpp │ ├── my_hack.cpp │ ├── my_hack.h │ └── replace.cpp └── images │ ├── 10-52-53.png │ ├── 20-30-03.png │ ├── 20-31-42.png │ ├── 20-36-09.png │ ├── 20-39-19.png │ ├── 20-40-08.png │ ├── 20-55-24.png │ ├── 21-18-07.png │ ├── 21-22-58.png │ ├── 21-56-03.png │ └── 22-09-21.png ├── D#0003-optimizing_cosine_distance_searching_in_a_million_feature-set ├── D#0003.md ├── code │ ├── build.sh │ ├── cosine_similarity.h │ ├── main.cpp │ ├── search_best.h │ └── timer.h └── images │ ├── Selection_191.png │ ├── Selection_192.png │ ├── Selection_193.png │ ├── Selection_194.png │ ├── Selection_195.png │ ├── Selection_196.png │ ├── Selection_197.png │ ├── Selection_198.png │ ├── Selection_199.png │ ├── Selection_200.png │ ├── Selection_201.png │ ├── Selection_202.png │ ├── Selection_203.png │ ├── Selection_204.png │ ├── Selection_205.png │ ├── Selection_206.png │ ├── Selection_207.png │ ├── Selection_210.png │ ├── Selection_211.png │ ├── Selection_212.png │ ├── Selection_213.png │ ├── Selection_214.png │ ├── Selection_216.png │ ├── Selection_217.png │ ├── Selection_218.png │ ├── Selection_219.png │ ├── Selection_220.png │ ├── Selection_221.png │ ├── Selection_222.png │ ├── Selection_223.png │ ├── Selection_224.png │ ├── Selection_226.png │ └── Selection_227.png ├── D#0004-depthwise_separable_convolutions_in_mobilenet ├── D#0004.md └── images │ └── 436695808.jpg ├── D#0005-separable_convolutions_in_image_processing ├── D#0005.md ├── code │ ├── GaussianFilter.cpp │ ├── GaussianFilter.h │ ├── build.sh │ ├── main.cpp │ ├── separateGaussianFilter.cpp │ ├── separateGaussianFilter.h │ └── timer.h └── images │ ├── 1386915682.jpg │ ├── 1565291630.jpg │ ├── Selection_231.png │ └── lena.jpeg ├── D#0006-protect_my_function ├── D#0006.md ├── code │ ├── auth.cpp │ ├── auth.h │ ├── main.cpp │ ├── sdk.cpp │ └── sdk.h └── images │ ├── Selection_282.png │ ├── Selection_283.png │ ├── Selection_284.png │ ├── Selection_285.png │ ├── Selection_287.png │ ├── Selection_288.png │ ├── Selection_289.png │ ├── Selection_290.png │ ├── Selection_291.png │ ├── Selection_292.png │ ├── Selection_293.png │ ├── Selection_294.png │ ├── Selection_295.png │ ├── Selection_296.png │ ├── Selection_297.png │ └── Selection_298.png ├── D#0007-compile_git_commit_sha1_into_elf ├── D#0007.md ├── code │ ├── Makefile │ ├── main.cpp │ ├── sdk.cpp │ └── sdk.h └── images │ ├── Selection_301.png │ ├── Selection_302.png │ ├── Selection_303.png │ ├── Selection_304.png │ ├── Selection_305.png │ └── Selection_307.png ├── D#0008-拉格朗日乘子法 ├── D#0008.md └── images │ ├── 113536.jpg │ ├── 114729.png │ ├── 131203.png │ ├── 144724.png │ ├── 151353.png │ ├── 154641.png │ ├── 162338.jpg │ ├── dualfunc.png │ └── dualprob.png ├── D#0009-SVM ├── D#0009.md └── images │ ├── .gitkeep │ ├── 110529.png │ ├── 113708.png │ ├── 160121.png │ ├── 203213.jpg │ ├── 212511.jpg │ └── 231537.png ├── D#0010-从线性回归到对率回归到Softmax激活函数 ├── D#0010.md └── images │ ├── .gitkeep │ ├── 104656.png │ ├── 132651.png │ ├── 150909.png │ └── 175045.png ├── D#0011-kNN ├── D#0011.md └── images │ └── .gitkeep ├── D#0012-为什么选交叉熵作为分类问题的损失函数 ├── D#0012.md └── images │ ├── .gitkeep │ ├── 172059.png │ ├── 195031.png │ ├── 223112.png │ ├── 223449.png │ ├── 225907.png │ └── 231448.png ├── D#0013-深度学习调参常用方法总结 ├── D#0013.md └── images │ ├── .gitkeep │ ├── 124926.png │ ├── 180705.png │ ├── 183737.jpg │ ├── bayes1.jpg │ ├── bayes2.jpg │ └── bayes3.jpg ├── D#0014-数据降维常用方法总结(LDA,PCA) ├── D#0014.md └── images │ ├── .gitkeep │ ├── 133329.png │ ├── 143203.png │ └── 163536.png ├── D#0015-深度学习常用损失函数 ├── D#0015.md └── images │ ├── .gitkeep │ ├── 154349.png │ ├── 154353.png │ ├── 154408.png │ ├── 154834.png │ ├── 160509.png │ ├── 160647.png │ ├── 161349.png │ ├── 161758.png │ ├── 162310.png │ └── 164439.png ├── D#0016-深度学习中不平衡样本的处理 ├── D#0016.md └── images │ ├── .gitkeep │ ├── 225817.png │ └── 230646.png ├── D#0017-MTCNN和FaceBoxes ├── D#0017.md └── images │ ├── .gitkeep │ ├── 174303.png │ ├── 181230.png │ ├── 183249.png │ ├── 184628.png │ ├── 202239.png │ ├── 203348.png │ ├── 203537.png │ ├── 203658.png │ └── 203924.png ├── D#0018-Mask_TextSpotter ├── D#0018.md └── images │ └── .gitkeep ├── D#0019-DeepID1,DeepID2,DeepID2+和DeepID3 ├── D#0019.md └── images │ ├── .gitkeep │ ├── 211326.png │ ├── 213046.png │ ├── 213312.png │ ├── 213324.png │ ├── 213342.png │ ├── 224342.png │ ├── 224356.png │ ├── 225135.png │ ├── Selection_329.png │ ├── Selection_330.png │ ├── Selection_331.png │ ├── Selection_332.png │ ├── Selection_333.png │ ├── Selection_334.png │ ├── Selection_335.png │ └── Selection_336.png ├── D#0020-Batch-Normalization层原理与分析 ├── D#0020.md └── images │ ├── .gitkeep │ ├── 213118.png │ ├── 213528.png │ ├── 213536.png │ ├── 224019.png │ ├── 233104.png │ ├── 233310.png │ ├── Selection_343.png │ ├── Selection_345.png │ ├── Selection_346.png │ ├── Selection_347.png │ ├── Selection_348.png │ ├── Selection_349.png │ └── Selection_350.png ├── D#0021-机器学习中的过拟合及其解决办法 ├── D#0021.md └── images │ ├── .gitkeep │ ├── 214025.png │ ├── 232539.png │ ├── Selection_351.png │ ├── Selection_352.png │ ├── Selection_353.png │ ├── Selection_354.png │ ├── Selection_355.png │ ├── Selection_356.png │ ├── Selection_357.png │ ├── Selection_358.png │ └── Selection_359.png ├── D#0022-SSD ├── D#0022.md └── images │ └── .gitkeep ├── D#0023-CNN模型计算量估计 ├── D#0023.md └── images │ └── .gitkeep ├── D#0024-CNN模型内存访问估计 ├── D#0024.md └── images │ └── .gitkeep ├── D#0025-CNN中使用卷积代替全连接 ├── D#0025.md └── images │ ├── .gitkeep │ └── 225831.png ├── D#0026-深度学习检测小目标常用方法 ├── D#0026.md └── images │ ├── .gitkeep │ ├── 215102.png │ ├── 224212.png │ ├── 224506.png │ ├── 230223.png │ ├── 230407.png │ ├── 230607.png │ ├── 232423.png │ ├── Selection_381.png │ ├── Selection_382.png │ ├── Selection_383.png │ ├── Selection_384.png │ ├── Selection_387.png │ ├── Selection_388.png │ ├── Selection_389.png │ └── Selection_390.png ├── D#0027-聊聊2017 ImageNet夺冠的SENet ├── D#0027.md └── images │ ├── .gitkeep │ ├── SENet.jpg │ ├── Selection_418.png │ ├── Selection_419.png │ ├── Selection_420.png │ ├── Selection_421.png │ ├── Selection_423.png │ ├── Selection_424.png │ ├── Selection_425.png │ ├── Selection_426.png │ ├── Selection_427.png │ └── Selection_428.png ├── D#0028-再聊SENet的孪生兄弟SKNet ├── D#0028.md └── images │ ├── .gitkeep │ ├── Selection_430.png │ ├── Selection_431.png │ ├── Selection_432.png │ ├── Selection_433.png │ ├── Selection_434.png │ └── Selection_435.png ├── D#0029-CV中的注意力机制 ├── D#0029.md └── images │ ├── .gitkeep │ ├── Selection_437.png │ ├── Selection_438.png │ ├── Selection_439.png │ ├── Selection_440.png │ ├── Selection_441.png │ └── Selection_442.png ├── D#0030-类MTCNN的360RIP人脸检测器PCN ├── D#0030.md └── images │ ├── .gitkeep │ ├── Selection_443.png │ ├── Selection_444.png │ ├── Selection_445.png │ ├── Selection_446.png │ ├── Selection_447.png │ ├── Selection_448.png │ ├── Selection_449.png │ ├── Selection_451.png │ ├── Selection_452.png │ ├── Selection_453.png │ ├── Selection_454.png │ ├── Selection_455.png │ ├── Selection_456.png │ ├── Selection_458.png │ ├── Selection_459.png │ ├── Selection_461.png │ └── Selection_462.png ├── D#0031-知识蒸馏Knowledge-Distillation ├── D#0031.md └── images │ ├── .gitkeep │ ├── KD.png │ ├── Selection_478.png │ └── Selection_479.png ├── D#0032-CNN可视化之类激活热力图Grad-CAM ├── D#0032.md └── images │ ├── .gitkeep │ ├── Selection_004.png │ ├── Selection_005.png │ ├── Selection_006.png │ ├── Selection_007.png │ └── Selection_008.png ├── D#0033-一些分类网络的训练技巧 ├── D#0033.md └── images │ ├── .gitkeep │ ├── Selection_495.png │ ├── Selection_496.png │ ├── Selection_497.png │ ├── Selection_498.png │ ├── Selection_499.png │ ├── Selection_500.png │ ├── Selection_501.png │ └── Selection_502.png ├── D#0034-火箭发射：阿里巴巴的轻量网络训练方法 ├── D#0034.md └── images │ ├── .gitkeep │ ├── 210322.png │ ├── 211148.png │ └── 213237.png ├── D#0035-2KW短视频打标问题之Activate-Learning ├── D#0035.md └── images │ └── .gitkeep ├── D#0036-2KW短视频打标问题之Multi-Modal-Machine-Learning ├── D#0036.md └── images │ ├── .gitkeep │ ├── Selection_508.png │ ├── Selection_509.png │ ├── Selection_510.png │ ├── Selection_511.png │ ├── Selection_512.png │ └── TransferLearning.png ├── D#0037-CentralNet做多模态融合 ├── D#0037.md └── images │ ├── .gitkeep │ ├── Selection_511.png │ ├── Selection_513.png │ ├── Selection_514.png │ ├── Selection_515.png │ ├── Selection_516.png │ ├── Selection_517.png │ ├── Selection_518.png │ ├── Selection_519.png │ ├── Selection_520.png │ ├── Selection_521.png │ ├── Selection_522.png │ └── Selection_523.png ├── D#0038-Multi-View-Active-Learning做视频推荐 ├── D#0038.md └── images │ ├── .gitkeep │ ├── Selection_504.png │ ├── Selection_505.png │ ├── Selection_506.png │ ├── Selection_507.png │ ├── Selection_508.png │ ├── Selection_509.png │ ├── Selection_510.png │ └── Selection_511.png ├── D#0039-用FCN做分割 ├── D#0039.md └── images │ ├── .gitkeep │ ├── 225831.png │ ├── 232018.png │ ├── Selection_513.png │ ├── Selection_514.png │ ├── Selection_515.png │ └── Selection_516.png ├── D#0040-用U-Net做分割 ├── D#0040.md └── images │ ├── .gitkeep │ ├── Selection_518.png │ ├── Selection_519.png │ ├── Selection_520.png │ ├── Selection_521.png │ ├── Selection_522.png │ └── Selection_523.png ├── D#0041-用RefineNet做分割 ├── D#0041.md └── images │ ├── .gitkeep │ ├── Selection_525.png │ ├── Selection_526.png │ ├── Selection_527.png │ ├── Selection_528.png │ ├── Selection_529.png │ └── Selection_530.png ├── D#0042-用DeepLabv3+的Encoder-Decoder做分割 ├── D#0042.md └── images │ ├── .gitkeep │ ├── 232018.png │ ├── Selection_518.png │ ├── Selection_531.png │ ├── Selection_532.png │ ├── Selection_533.png │ └── Selection_534.png ├── D#0043-用HRNet做分割 ├── D#0043.md └── images │ ├── .gitkeep │ ├── 154321.png │ ├── 155806.png │ ├── 160639.png │ ├── 161658.png │ └── 232018.png ├── D#0044-用Network-Slimming做模型加速和压缩 ├── D#0044.md └── images │ ├── .gitkeep │ ├── 543.png │ ├── 544.png │ ├── 545.png │ ├── 546.png │ ├── 547.png │ ├── 548.png │ └── 549.png ├── D#0045-Stacked-Hourglass-Network-for-Human-Pose-Estimation ├── D#0045.md └── images │ ├── .gitkeep │ ├── 556.png │ ├── 557.png │ ├── 558.png │ ├── 560.png │ ├── 561.png │ ├── 562.png │ ├── 563.png │ └── 564.png ├── D#0046-Anchor-Free第一篇CornerNet-Detecting-Objects-as-Paired-Keypoints ├── D#0046.md └── images │ ├── .gitkeep │ ├── 565.png │ ├── 566.png │ ├── 567.png │ ├── 568.png │ ├── 569.png │ ├── 570.png │ ├── 571.png │ ├── 572.png │ ├── 573.png │ ├── 574.png │ ├── 575.png │ ├── 576.png │ └── 577.png ├── D#0047-Anchor-Free第二篇CornerNet的变种ExtremeNet ├── D#0047.md └── images │ ├── .gitkeep │ ├── 565.png │ ├── 575.png │ ├── 580.png │ ├── 581.png │ ├── 582.png │ ├── 583.png │ ├── 584.png │ ├── 585.png │ └── 586.png ├── D#0048-Anchor-Free第三篇Objects-as-Points ├── D#0048.md └── images │ ├── .gitkeep │ ├── 122149.png │ ├── 125313.png │ ├── 130128.png │ ├── 130954.png │ ├── 131049.png │ ├── 131135.png │ ├── 131329.png │ ├── 565.png │ └── 580.png ├── D#0049-Anchor-Free第四篇CenterNet-Keypoint-Triplets-for-Object-Detection ├── D#0049.md └── images │ ├── .gitkeep │ ├── 180227.png │ ├── 180345.png │ ├── 181626.png │ ├── 182402.png │ ├── 183054.png │ ├── 183111.png │ └── 184637.png ├── D#0050-C++中浮点值做比较的正确方法 ├── code │ └── main.cpp └── images │ └── .gitkeep ├── LICENSE └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | *.swp 2 | a.out 3 | 4 | .DS_Store 5 | 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