anonymous530

Daedalus-attack

The code of our paper: 'Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples', in Tensorflow.

pytorch-nips2017-attack-example

A PyTorch baseline attack example for the NIPS 2017 adversarial competition

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

face.evoLVe

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

awesome-Face_Recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

fast_adversarial

Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"

realtime-adversarial-attack

Code for IJCAI 2019 paper "Real-time Adversarial Attack".

YOLOv3_PyTorch

Full implementation of YOLOv3 in PyTorch

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

netron

Visualizer for neural network, deep learning and machine learning models

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

YOLO_v3_tutorial_from_scratch

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

ensemble-adv-training-pytorch

Ensemble Adversarial Training on MNIST with pytorch

interview_internal_reference

2023年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

CVPR-2019-Paper-Statistics

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

conference_call_for_paper

2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

Curls-Whey

The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch

EvadeML-Zoo

Benchmarking and Visualization Tool for Adversarial Machine Learning

FeatureSqueezing

Detecting Adversarial Examples in Deep Neural Networks

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

octaveconv-pytorch

Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution in Pytorch (https://arxiv.org/abs/1904.05049)

OctaveConv_pytorch

Pytorch implementation of newly added convolution

cascade_adv_training

Guided-Denoise

The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL

PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

pose-residual-network

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper