Hxinrong's Stars
shangtse/robust-physical-attack
Physical adversarial attack for fooling the Faster R-CNN object detector
YanghaoZYH/HNM-PGD
Code for paper 'Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks'
omidmnezami/pick-object-attack
Type-Specific Adversarial Attack for Object Detection
pifalken/YOLOv3-GradCAM
GradCAM algorithm implementation for YOLOv3
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
IDayday/YOLOv4_CAM
I tried to apply the CAM algorithm to YOLOv4 and it worked.
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Sibozhu/grad-cam-formula-student
He-Zhang/image_dehaze
Single Image Haze Removal Using Dark Channel Prior
DetectionTeamUCAS/R2CNN-Plus-Plus_Tensorflow
This is a tensorflow implementation of R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy.
rafaelpadilla/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
pjreddie/darknet
Convolutional Neural Networks
AlexeyAB/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
yiruzzz/NWPU-VHR-10_2_VOC
yoyotv/YOLO-project
YOLO projects
jessemelpolio/Faster_RCNN_for_DOTA
Code used for training Faster R-CNN on DOTA
postor/DOTA-yolov3
DOTA database training with yolo | 基于DOTA数据集的yolo训练
lqwrl542293/JL-Yang_CV
tuna/thuthesis
LaTeX Thesis Template for Tsinghua University
tzxiang/awesome-semantic-understanding-for-aerial-scene
A curated list of awesome resources for semantic understanding of aerial scene
MUYang99/Pytorch_Remote-Sensing-Image-Classification
Based on Google Earth remote sensing images of Wuhan in 2016, using pre-trained models Alexnet, VGG11, Resnet-50 and Resnet-101 for transfer learning, the classification model can predict the category of unknown remote sensing images with 90.48% accuracy (ResNet-101)
vannolimarco/classification-for-land-use-images-via-cnn
Performing a classification of the land-use image provided by a Remote sensing process using a Convolution-Neural-Network trained through pre-trained neural network VGG16 (transfer learning) 🛰️🛰️🛰️
lehaifeng/RSI-CB
Remote Sensing Image Classification Benchmark for Deep Learning
xungeer29/Remote-Sensing-Image-Classification
深度学习图像分类的入门教程
RayleighChen/AEs-remote-sensing-images
Soft-threshold Defensive Method for Ad of RSI: Inspired by the Evidences via Throughout Experiments
dwdb/tensorflow2.0-tutorial
基于tensorflow2.0搭建网络结构
fabien-brulport/RNN-Sound-classification
RNN implementation with Tensorflow (LSTM) to classify variable length sound sequences
jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
geopy/geopy
Geocoding library for Python.
vvanggeng/TSC-KNN
基于KNN和DTW的时间序列分类