152 Open source projects that are alternatives of or similar to Natural Adv Examples

PyTorch implementation of EfficientNetV2 family

Xception implemented with caffe

Selective Classification For Deep Neural Networks.

Autoencoder trained on ImageNet Using Torch 7

custom implementation alexnet with tensorflow

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

Scripts to work with LMDB + PyTorch for Imagenet training

Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.

Train faster rcnn on imagine dataset, related blog post: https://andrewliao11.github.io/object/detection/2016/07/23/detection/

A collection of SOTA Image Classification Models in PyTorch

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

Reference 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".

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

ImageNet model implemented using the Keras Functional API

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

73.6% GhostNet 1.0x pre-trained model on ImageNet

Comparison of famous convolutional neural network models

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

Unofficial TensorFlow implementation of "AlexNet" architecture.

🤖 Cozmo the Robot recognizes objects with TensorFlow

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

EfficientNetV2 implementation using PyTorch

Easily train or fine-tune SOTA computer vision models with one open source training library

Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

Implementing Searching for MobileNetV3 paper using Pytorch

Open Set Recognition

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Training Low-bits DNNs with Stochastic Quantization

TensorFlow ImageNet - Training and SOTA checkpoints

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

Segmentation models with pretrained backbones. PyTorch.

Bottleneck Transformers for Visual Recognition

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

No description or website provided.

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

Parametric Contrastive Learning (ICCV2021)

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Pytorch code to generate adversarial examples on mnist and ImageNet data.

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

PyTorch to Keras model convertor

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Compare neural networks by their feature similarity

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

PyTorch implementation of PNASNet-5 on ImageNet

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

Etiketai is an online tool designed to label images, useful for training AI models