duytue

duytue's Stars

• mileyan/Pseudo_Lidar_V2

  (ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

  Language:Python604127

• mileyan/pseudo_lidar

  (CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

  Language:Jupyter Notebook977217

• subho406/OmniNet

  Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

  Language:Python51358

• ucbdrive/bdd100k

  This repo has been moved to https://github.com/bdd100k/bdd100k permanently.

  Language:Python583163

• huanghoujing/EANet

  EANet: Enhancing Alignment for Cross-Domain Person Re-identification

  Language:Python39988

• feichtenhofer/Detect-Track

  Code release for "Detect to Track and Track to Detect", ICCV 2017

  Language:Matlab553111

• shijieS/SST

  Single Shot Tracker

  Language:Python39997

• KovenYu/MAR

  Pytorch code for our CVPR'19 (oral) work: Unsupervised person re-identification by soft multilabel learning

  Language:Python31483

• yolomax/person-reid-lib

  The pytorch-based lightweight library of the image-based and video-based person re-identification.

  Language:Python7621

• Wanggcong/Spatial-Temporal-Re-identification

  [AAAI 2019] Spatial Temporal Re-identification

  Language:Python38477

• zhunzhong07/ECN

  Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification CVPR 2019

  Language:Python30560

• VisualComputingInstitute/TrackR-CNN

  TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)

  Language:Python520110

• microsoft/human-pose-estimation.pytorch

  The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

  Language:Python3k606

• Guanghan/lighttrack

  LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking

  Language:Python721141

• GNAYUOHZ/ReID-MGN

  Simple pytorch unofficial implement of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification

  Language:Python23561

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9k1.8k

• seathiefwang/MGN-pytorch

  Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification

  Language:Python285108

• layumi/Person_reID_baseline_pytorch

  :bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

  Language:Python4.1k1k

• yihongXU/deepMOT

  Official Implementation of How To Train Your Deep Multi-Object Tracker (CVPR2020)

  49887

• KaiyangZhou/deep-person-reid

  Torchreid: Deep learning person re-identification in PyTorch.

  Language:Python4.3k1.1k

• stigma0617/VoVNet.pytorch

  A pytorch implementation of VoVNet

  Language:Python13227

• dbolya/yolact

  A simple, fully convolutional model for real-time instance segmentation.

  Language:Python5k1.3k

• see--/keras-centernet

  A Keras implementation of CenterNet with pre-trained model (unofficial)

  Language:Python33784

• xingkongliang/Pedestrian-Detection

  Pedestrian Detection Papers

  26153

• bailvwangzi/repulsion_loss_ssd

  Repulsion Loss: Detecting Pedestrians in a Crowd. https://arxiv.org/abs/1711.07752

  Language:Python23566

• re-search/DocProduct

  Medical Q&A with Deep Language Models

  Language:Jupyter Notebook567159

• xingyizhou/ExtremeNet

  Bottom-up Object Detection by Grouping Extreme and Center Points

  Language:Python1k174

• DeepVoltaire/AutoAugment

  Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

  Language:Jupyter Notebook1.5k199

• xingyizhou/CenterNet

  Object detection, 3D detection, and pose estimation using center point detection:

  Language:Python7.3k1.9k

• Duankaiwen/CenterNet

  Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

  Language:Python1.9k384