jonXue92's starred repositories
digital_video_introduction
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
CVPR2024-Paper-Code-Interpretation
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow
leetcode-linghu-templete
算法面试必备,推荐刷题网站www.lintcode.com。北大学霸的《LeetCode刷题模板》+V领取: jiuzhangfeifei
awesome-lane-detection
A paper list of lane detection.
image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
ICCV2023-Paper-Code-Interpretation
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
ECCV2024-Papers-with-Code
ECCV 2024 论文和开源项目合集,同时欢迎各位大佬提交issue,分享ECCV 2024论文和开源项目
X-StereoLab
SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE;PLUME Uber ATG
CVPR_2021_Papers
CVPR2021最新论文汇总,主要包括:Transformer, NAS,模型压缩,模型评估,图像分类,检测,分割,跟踪,GAN,超分辨率,图像恢复,去雨,去雾,去模糊,去噪,重建等等
OptimizedImageEnhance
Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.
Self-supervised-Image-Enhancement-Network-Training-With-Low-Light-Images-Only
Self-supervised Image Enhancement Network: Training With Low Light Images Only
inception-v3.torch
Rethinking the Inception Architecture for Computer Vision
carAI-Demo
使用浅层神经网络和遗传算法训练一个可以自动驾驶小车的Demo
EvolutionNeuralNetwork
A small project abot GA and ANN,基于TensorFlow实现基于遗传算法的神经网络结构搜索技术,在威斯康星乳腺癌细胞分类的数据集上面进行实验,并与传统的机器学习的分类算法进行对比,验证该算法的结果的优劣性。
K-meansCluster
A java implementation of k-means algorithm.It uses ball tree as internal data structure to accelerate the computation.It uses 2-norm distance to compute the similarity between instances.