QiuZuowei'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, ... 🧠
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
mikel-brostrom/boxmot
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
ifzhang/ByteTrack
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
open-mmlab/mmtracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
EbookFoundation/free-science-books
Inspired by free-programming-books, here's free-science-books
layumi/Vehicle_reID-Collection
:red_car: the collection of vehicle re-ID papers, datasets. :red_car:
layumi/AICIty-reID-2020
:red_car: The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)
bharath5673/StrongSORT-YOLO
Real-time multi-camera multi-object tracker using YOLO varients
Zhongdao/VehicleReIDKeyPointData
Annotations of key point location and vehicle orientation for VeRi-776 dataset. ICCV'17 paper: Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification.
yurizzzzz/Helmet-Detection-YoloV5
Safety helmet wearing detection on construction site based on YoloV5s-V5.0 including helmet dataset(基于YoloV5-V5.0的工地安全帽检测并且包含开源的安全帽数据集)
LCFractal/AIC21-MTMC
🏆The 1st place solution of track3 (City-Scale Multi-Camera Vehicle Tracking) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.
KevinQian97/ELECTRICITY-MTMC
ELECTRICITY: An Efficient Multi-camera Vehicle Tracking System for Intelligent City(CVPR 2020 AI City Challenge Track 3)
hou-yz/open-reid-tracking
open-reid with PCB, IDE, triplet, ZJU; MOT/MTMCT feature extraction support included
silverbulletmdc/PVEN
Parsing based vehicle ReID
didi/mtmc-vt
MTMC Vehicle Tracking For AI City challenge 2019
Yejin0111/AICITY2022-Track1-MTMC
Official codes of the first place for AICity 2022 Track 1
adhirajghosh/RPTM_reid
[WACV'23] The official code for "Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems"
coder-wangzhen/AIC22-MCVT
The 2nd place solution of track1 (City-Scale Multi-Camera Vehicle Tracking) in the NVIDIA AI City Challenge at CVPR 2022 Workshop.
emdata-ailab/VANET
Code reproduce for paper "Vehicle Re-identification with Viewpoint-aware Metric Learning"
davidserra9/tracknet
TrackNet: A Triplet metric-based method for Multi-Target Multi-Camera Vehicle Tracking
royukira/AIC22_Track1_MTMC_ID10
Solution of The AI City Challenge 2022 Track 1
zxcver/spatio-time-mtmc
AI City 2021 Challenge (https://www.aicitychallenge.org/) Track 3 MTMC
backkon/AICITY2022_Track1_TAG
Codes of the 3rd place of Track 1, AI City Challenge 2022