Pinned Repositories
3D-R2N2-PyTorch
PyTorch version of 3D-R2N2
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
Academic-Group
AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
AI-Toolbox
Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas
ann-benchmarks
Benchmarking approximate nearest neighbors. Note: This is an archived version from our SISAP 2017 paper, see below.
awesome-cbir-papers
📝Awesome and classical image retrieval papers
cnnimageretrieval-pytorch
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
IME_layer
Code for Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval
PWA
Code for Unsupervised Part-based Weighting Aggregation of Deep Convolutional Features for Image Retrieval
XJhaoren's Repositories
XJhaoren/AI-Toolbox
Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas
XJhaoren/ann-benchmarks-1
Benchmarks of approximate nearest neighbor libraries in Python
XJhaoren/awesome-Gesture-Recognition
resources about Gesture Recognition
XJhaoren/awesomeCV
记录state-of-art计算机视觉相关论文。
XJhaoren/Class-balanced-loss-pytorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
XJhaoren/coco-annotator
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
XJhaoren/cvpr2020
cvpr2020/cvpr2019/cvpr2018/cvpr2017 papers,极市团队整理
XJhaoren/CVPR21Chal-SLR
This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.
XJhaoren/deep-person-reid
Deep learning person re-identification in PyTorch.
XJhaoren/DEKR
This is an official implementation of our CVPR 2021 paper "Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression" (https://arxiv.org/abs/2104.02300)
XJhaoren/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
XJhaoren/FairMOT
A simple baseline for one-shot multi-object tracking
XJhaoren/faiss
A library for efficient similarity search and clustering of dense vectors.
XJhaoren/finegan
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
XJhaoren/HigherHRNet-Human-Pose-Estimation
This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)
XJhaoren/Hybrid-Attention-based-Decoupled-Metric-Learning
Caffe implementation of "Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval"
XJhaoren/image-matching-benchmark
Public release of the Image Matching Benchmark: https://vision.uvic.ca/image-matching-challenge
XJhaoren/insightface
Face Analysis Project on MXNet
XJhaoren/InterHand2.6M
Official PyTorch implementation of "InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image", ECCV 2020
XJhaoren/MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
XJhaoren/Mimic3DWeb
XJhaoren/nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
XJhaoren/Person_reID_baseline_pytorch
A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
XJhaoren/PyRetri
Open source deep learning based unsupervised image retrieval toolbox based on PyTorch🔥
XJhaoren/SOSNet
Pretrained pytorch model for the SOSNet descriptor [CVPR 2019]
XJhaoren/tpu
Reference models and tools for Cloud TPUs.
XJhaoren/TransT
Transformer Tracking (CVPR2021)
XJhaoren/vcpkg
C++ Library Manager for Windows, Linux, and MacOS
XJhaoren/XJhaoren.github.io
XJhaoren/Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.