[ { "Accuracy": 99.15, "Error": 0.85, "code_links": [ { "title": "dipuk0506/SpinalNet", "url": "https://github.com/dipuk0506/SpinalNet" } ], "date": "2020-07-07", "date2": 20200707, "model": "VGG-5 (Spinal FC)", "paper": { "title": "SpinalNet: Deep Neural Network with Gradual Input", "url": "https://cknow.io/lib/78e28c9c640b4b71" }, "paper_data_uoa": "78e28c9c640b4b71" }, { "Accuracy": 98.94, "code_links": [ { "title": "dipuk0506/SpinalNet", "url": "https://github.com/dipuk0506/SpinalNet" } ], "date": "2020-07-07", "date2": 20200707, "model": "VGG-5", "paper": { "title": "SpinalNet: Deep Neural Network with Gradual Input", "url": "https://cknow.io/lib/78e28c9c640b4b71" }, "paper_data_uoa": "78e28c9c640b4b71" }, { "Accuracy": 98.41, "code_links": [ { "title": "rwightman/pytorch-image-models", "url": "https://github.com/rwightman/pytorch-image-models" }, { "title": "facebookresearch/mixup-cifar10", "url": "https://github.com/facebookresearch/mixup-cifar10" }, { "title": "hongyi-zhang/mixup", "url": "https://github.com/hongyi-zhang/mixup" }, { "title": "david8862/keras-YOLOv3-model-set", "url": "https://github.com/david8862/keras-YOLOv3-model-set" }, { "title": "lRomul/argus-freesound", "url": "https://github.com/lRomul/argus-freesound" }, { "title": "hongyi-zhang/Fixup", "url": "https://github.com/hongyi-zhang/Fixup" }, { "title": "tugstugi/pytorch-speech-commands", "url": "https://github.com/tugstugi/pytorch-speech-commands" }, { "title": "JunweiLiang/Object_Detection_Tracking", "url": "https://github.com/JunweiLiang/Object_Detection_Tracking" }, { "title": "scut-aitcm/Competitive-Inner-Imaging-SENet", "url": "https://github.com/scut-aitcm/Competitive-Inner-Imaging-SENet" }, { "title": "scut-aitcm/CompetitiveSENet", "url": "https://github.com/scut-aitcm/CompetitiveSENet" }, { "title": "simongrest/farm-pin-crop-detection-challenge", "url": "https://github.com/simongrest/farm-pin-crop-detection-challenge" }, { "title": "P2333/Mixup-Inference", "url": "https://github.com/P2333/Mixup-Inference" }, { "title": "rit-git/Snippext_public", "url": "https://github.com/rit-git/Snippext_public" }, { "title": "jonnor/datascience-master", "url": "https://github.com/jonnor/datascience-master" }, { "title": "yell/kaggle-camera", "url": "https://github.com/yell/kaggle-camera" }, { "title": "simongrest/kaggle-freesound-audio-tagging-2019", "url": "https://github.com/simongrest/kaggle-freesound-audio-tagging-2019" }, { "title": "jianshen92/stanford-car-grab-challenge", "url": "https://github.com/jianshen92/stanford-car-grab-challenge" }, { "title": "tanmaypandey7/wheat-detection", "url": "https://github.com/tanmaypandey7/wheat-detection" }, { "title": "AngusG/bn-advex-zhang-fixup", "url": "https://github.com/AngusG/bn-advex-zhang-fixup" }, { "title": "amerch/CIFAR100-Training", "url": "https://github.com/amerch/CIFAR100-Training" }, { "title": "transcendentsky/mixup", "url": "https://github.com/transcendentsky/mixup" }, { "title": "makeyourownmaker/mixup", "url": "https://github.com/makeyourownmaker/mixup" }, { "title": "jmaronas/calibration_MixupDNN_ARCLoss.pytorch", "url": "https://github.com/jmaronas/calibration_MixupDNN_ARCLoss.pytorch" }, { "title": "OFRIN/Tensorflow_MixUp", "url": "https://github.com/OFRIN/Tensorflow_MixUp" }, { "title": "toshi-k/kaggle-bengaliai-handwritten-grapheme-classification", "url": "https://github.com/toshi-k/kaggle-bengaliai-handwritten-grapheme-classification" }, { "title": "akjgskwi/mixup_chainer", "url": "https://github.com/akjgskwi/mixup_chainer" }, { "title": "teang1995/satellite_image_task", "url": "https://github.com/teang1995/satellite_image_task" }, { "title": "Bennie-Han/Image-augementation-pytorch", "url": "https://github.com/Bennie-Han/Image-augementation-pytorch" }, { "title": "CaoShuning/MIXUP", "url": "https://github.com/CaoShuning/MIXUP" }, { "title": "Taoudi/DataAugmentation", "url": "https://github.com/Taoudi/DataAugmentation" } ], "date": "2017-10-25", "date2": 20171025, "model": "PreActResNet-18 + Input Mixup", "paper": { "title": "mixup: Beyond Empirical Risk Minimization", "url": "https://cknow.io/lib/ed03044f9b3c9a7f" }, "paper_data_uoa": "ed03044f9b3c9a7f" }, { "Accuracy": 97.82, "code_links": [ { "title": "tensorflow/models", "url": "https://github.com/tensorflow/models/tree/master/research/slim" }, { "title": "tensorflow/models", "url": "https://github.com/tensorflow/models" }, { "title": "tensorflow/models", "url": "https://github.com/tensorflow/models/tree/master/research/resnet" }, { "title": "tensorpack/tensorpack", "url": "https://github.com/tensorpack/tensorpack/tree/master/examples/ResNet" }, { "title": "osmr/imgclsmob", "url": "https://github.com/osmr/imgclsmob" }, { "title": "raghakot/keras-resnet", "url": "https://github.com/raghakot/keras-resnet" }, { "title": "wenxinxu/resnet-in-tensorflow", "url": "https://github.com/wenxinxu/resnet-in-tensorflow" }, { "title": "KaimingHe/resnet-1k-layers", "url": "https://github.com/KaimingHe/resnet-1k-layers" }, { "title": "alrojo/lasagne_residual_network", "url": "https://github.com/alrojo/lasagne_residual_network" }, { "title": "junhocho/SRGAN", "url": "https://github.com/junhocho/SRGAN" }, { "title": "edufonseca/icassp19", "url": "https://github.com/edufonseca/icassp19" }, { "title": "huangleiBuaa/DecorrelatedBN", "url": "https://github.com/huangleiBuaa/DecorrelatedBN" }, { "title": "umich-vl/DecorrelatedBN", "url": "https://github.com/umich-vl/DecorrelatedBN" }, { "title": "poloclub/jpeg-defense", "url": "https://github.com/poloclub/jpeg-defense" }, { "title": "P2333/Max-Mahalanobis-Training", "url": "https://github.com/P2333/Max-Mahalanobis-Training" }, { "title": "P2333/Mixup-Inference", "url": "https://github.com/P2333/Mixup-Inference" }, { "title": "marload/ConvNets-TensorFlow2", "url": "https://github.com/marload/ConvNets-TensorFlow2" }, { "title": "bazilas/matconvnet-ResNet", "url": "https://github.com/bazilas/matconvnet-ResNet" }, { "title": "Stick-To/resnet", "url": "https://github.com/Stick-To/resnet" }, { "title": "Stick-To/ResNet-TF", "url": "https://github.com/Stick-To/ResNet-TF" }, { "title": "Stick-To/ResNet-tensorflow", "url": "https://github.com/Stick-To/ResNet-tensorflow" }, { "title": "Graylab/deepH3-distances-orientations", "url": "https://github.com/Graylab/deepH3-distances-orientations" }, { "title": "iArunava/ResNet", "url": "https://github.com/iArunava/ResNet" }, { "title": "TuSimple/resnet.mxnet", "url": "https://github.com/TuSimple/resnet.mxnet" }, { "title": "deontaepharr/Residual-Attention-Network", "url": "https://github.com/deontaepharr/Residual-Attention-Network" }, { "title": "uclaml/Frank-Wolfe-AdvML", "url": "https://github.com/uclaml/Frank-Wolfe-AdvML" }, { "title": "MichaelWangfc/distributed-tensorflow-resnet", "url": "https://github.com/MichaelWangfc/distributed-tensorflow-resnet" }, { "title": "brain-bzh/MCNN", "url": "https://github.com/brain-bzh/MCNN" }, { "title": "hysts/pytorch_resnet_preact", "url": "https://github.com/hysts/pytorch_resnet_preact" }, { "title": "farrell236/ResNetAE", "url": "https://github.com/farrell236/ResNetAE" }, { "title": "statsu1990/ReZero-Cifar100", "url": "https://github.com/statsu1990/ReZero-Cifar100" }, { "title": "FranckZibi/SharpNet", "url": "https://github.com/FranckZibi/SharpNet" }, { "title": "Jeongyun-Lee-0423/Classification", "url": "https://github.com/Jeongyun-Lee-0423/Classification" }, { "title": "sitegui/ceci-nest-pas-un-chat", "url": "https://github.com/sitegui/ceci-nest-pas-un-chat" }, { "title": "zjZSTU/ResNet", "url": "https://github.com/zjZSTU/ResNet" }, { "title": "horse007666/ResNet", "url": "https://github.com/horse007666/ResNet" }, { "title": "seansoleyman/cifar10-resnet", "url": "https://github.com/seansoleyman/cifar10-resnet" }, { "title": "HubertTW/1st-DL-CVMarathon", "url": "https://github.com/HubertTW/1st-DL-CVMarathon" }, { "title": "jofas/master_thesis", "url": "https://github.com/jofas/master_thesis" }, { "title": "rickyHong/JPEG-Defense-repl", "url": "https://github.com/rickyHong/JPEG-Defense-repl" }, { "title": "bclwan/MRI_Brain_Segmentation", "url": "https://github.com/bclwan/MRI_Brain_Segmentation" }, { "title": "kaseris/ILSVRCPlus", "url": "https://github.com/kaseris/ILSVRCPlus" } ], "date": "2016-03-16", "date2": 20160316, "model": "PreActResNet-18", "paper": { "title": "Identity Mappings in Deep Residual Networks", "url": "https://cknow.io/lib/d6248b4af6bed66b" }, "paper_data_uoa": "d6248b4af6bed66b" }, { "Accuracy": 96.3, "code_links": [ { "title": "cair/pyTsetlinMachine", "url": "https://github.com/cair/pyTsetlinMachine" }, { "title": "cair/convolutional-tsetlin-machine-tutorial", "url": "https://github.com/cair/convolutional-tsetlin-machine-tutorial" }, { "title": "cair/convolutional-tsetlin-machine", "url": "https://github.com/cair/convolutional-tsetlin-machine" }, { "title": "cair/pyTsetlinMachineMT", "url": "https://github.com/cair/pyTsetlinMachineMT" }, { "title": "cair/pyTsetlinMachineParallel", "url": "https://github.com/cair/pyTsetlinMachineParallel" }, { "title": "zdx3578/pyTsetlinMachine", "url": "https://github.com/zdx3578/pyTsetlinMachine" } ], "date": "2019-05-23", "date2": 20190523, "model": "Convolutional Tsetlin Machine", "paper": { "title": "The Convolutional Tsetlin Machine", "url": "https://cknow.io/lib/d09783382ac4b72b" }, "paper_data_uoa": "d09783382ac4b72b" }, { "Error": 1.1, "code_links": [ { "title": "rois-codh/kmnist", "url": "https://github.com/rois-codh/kmnist" }, { "title": "hardmaru/kanji2kanji", "url": "https://github.com/hardmaru/kanji2kanji" }, { "title": "mv-lab/kuzushiji-recognition", "url": "https://github.com/mv-lab/kuzushiji-recognition" }, { "title": "christianversloot/extra_keras_datasets", "url": "https://github.com/christianversloot/extra_keras_datasets" }, { "title": "christianversloot/keras-cnn", "url": "https://github.com/christianversloot/keras-cnn" } ], "date": "2018-12-03", "date2": 20181203, "model": "ResNet18 + VGG Ensemble", "paper": { "title": "Deep Learning for Classical Japanese Literature", "url": "https://cknow.io/lib/ce668f3c93394242" }, "paper_data_uoa": "ce668f3c93394242" } ]