Name: 王晓栋 (Xiaodong Wang)
Type: User
Company: University of Science and Technology of China in Computer Application Technology
Bio: A fourth-year Ph.D. student towards Computer Science and Technology Doctoral Degree at University of Science and Technology of China
Location: Hefei, China
Blog: https://en.ustc.edu.cn/
王晓栋 (Xiaodong Wang)'s Projects
3D ResNets for Action Recognition (CVPR 2018)
Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.
AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
Full conference version of AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
左程云老师算法最优解Python实现
算法/数据结构/Python/剑指offer/机器学习/leetcode
TianChi 2018广东工业智造大数据创新大赛——智能算法赛(初赛代码)
加注释的网络模型(便于理解)
Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Automatic headphone equalization from frequency responses
LeetCode, HackRank, 剑指offer, classic algorithm implementation
A collection of projects build with detectron2
collection of diffusion model papers categorized by their subareas
A curated list of papers, code and resources pertaining to few-shot image generation
A curated list of resources about few-shot and one-shot learning
A review for latest few-shot learning works
awesome few shot / meta learning papers
Leaderboard, taxonomy, and curated list of few-shot object detection papers.
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
Collection for Few-shot Learning
适合中文的简历模板收集(LaTeX,HTML/JS and so on)
🕶 A curated list of Tiny Object Detection papers and related resources.
BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。
仿生学算法实现
High-resolution breast cancer screening with multi-view deep convolutional neural networks
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation