Selecsls PytorchReference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".
Pyramidnet PytorchA PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
PyconvPyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
FusenetDeep fusion project of deeply-fused nets, and the study on the connection to ensembling
Octconv.pytorchPyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
Triplet AttentionOfficial PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
MogaMoGA: Searching Beyond MobileNetV3
Labelimg🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
AtomnasCode for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
TorchdistillPyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.
ImgclsmobSandbox for training deep learning networks
IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
ImagenetTensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset
Alexnetimplement AlexNet with C / convolutional nerual network / machine learning / computer vision
EfficientnetImplementation of EfficientNet model. Keras and TensorFlow Keras.
AognetCode for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
Pytorch Imagenet Cifar Coco Voc TrainingTraining examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.
RegnetPytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
ImagenetThis implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
PyramidnetTorch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
LabelboxLabelbox is the fastest way to annotate data to build and ship computer vision applications.
Ir NetThis project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.
PetridishnnCode for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
MocoUnofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
GhostnetCV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
Pnasnet.tfTensorFlow implementation of PNASNet-5 on ImageNet
Hbonet[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions
Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
Caffe ModelCaffe models (including classification, detection and segmentation) and deploy files for famouse networks
ArtosAdaptive Real-Time Object Detection System with HOG and CNN Features
Tf Hrnettensorflow implementation for "High-Resolution Representations for Labeling Pixels and Regions"
One Pixel Attack KerasKeras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Big transferOfficial repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
ImagenetTrial on kaggle imagenet object localization by yolo v3 in google cloud
Divide And Co Training[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.
Pretrained Models.pytorchPretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
SegmentationcppA c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
DcganPorting pytorch dcgan on FloydHub