Name: Chen Xiangqi
Type: User
Company: zhejiang normal univercity
Bio: My name is Chen Xiangqi. I come from Zhejiang Normal University in Jinhua, Zhejiang Province China. I am currently a second-year master student
Location: Jinhua, Zhejiang Province China.
Chen Xiangqi's Projects
😮 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务等领域知识,后端开发必看,前端同学也可学习
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
后端架构师技术图谱
A curated list of resources for Learning with Noisy Labels
Awesome Papers related to Mamba.
Awesome OVD-OVS - A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future
A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking.
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能
开源问答系统,现有功能提问、回复、通知。功能持续更新中…… 技术栈 Spring、Spring Boot、MyBatis
:books: 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计
Python数据分析教程的资料
医学影像数据集列表
Deformable Convolutional Networks v2 with Pytorch
Django 2 by Example, published by Packt
Minimal web UI for GeminiPro.
✍ An excellent open source blog publishing application. | 一个优秀的开源博客发布应用。
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
[NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "Fast Vision Transformers with HiLo Attention"
Multi-Object Tracking in the Dark (Accepted by CVPR 2024)
State Space Models
A list of resouces for multispectral pedestrian detection,including the datasets, methods, annotations and tools.
WeChatVideoDownloader修改版
Latest paper about small object detection