deadlinesoldiermc

deadlinesoldiermc's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python55.2k5.7k

• CAPTAIN-WHU/DOTA_devkit

  Language:Jupyter Notebook635184

• obeychoi0120/YOLOv5-GradCAM

  SKKU S-HERO Capstone Projects with PCB detection using Yolov5&Grad-CAM

  Language:Python328

• LiangSiyuan21/Adversarial-Attacks-for-Image-and-Video-Object-Detection

  A Implementation of IJCAI-19(Transferable Adversarial Attacks for Image and Video Object Detection)

  Language:Python9021

• galenyu/my_first_cnn

  easy example to deploy your classical cnn models

  Language:Jupyter Notebook3

• dxxzst/mml-book-chinese

  mml-book-chinese《Mathematics For Machine Learning》机器学习中的数学 中文版

  16120

• git-disl/TOG

  Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enriching opportunities, they also open doors for misuse and abuse. This project presents a suite of adversarial objectness gradient attacks, coined as TOG, which can cause the state-of-the-art deep object detection networks to suffer from untargeted random attacks or even targeted attacks with three types of specificity: (1) object-vanishing, (2) object-fabrication, and (3) object-mislabeling. Apart from tailoring an adversarial perturbation for each input image, we further demonstrate TOG as a universal attack, which trains a single adversarial perturbation that can be generalized to effectively craft an unseen input with a negligible attack time cost. Also, we apply TOG as an adversarial patch attack, a form of physical attacks, showing its ability to optimize a visually confined patch filled with malicious patterns, deceiving well-trained object detectors to misbehave purposefully.

  Language:Jupyter Notebook12141

• XinzeLee/PolygonObjectDetection

  This repository is based on Ultralytics/yolov5, with adjustments to enable polygon prediction boxes.

  Language:Python35595

• bubbliiiing/yolov7-pytorch

  这是一个yolov7的库，可以用于训练自己的数据集。

  Language:Python875154

• z1069614715/objectdetection_script

  一些关于目标检测的脚本的改进思路代码，详细请看readme.md

  Language:Python5.2k476

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python22.8k8k