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LeeSong's Projects

aubo_robot icon aubo_robot

Developed for aubo robot (http://www.aubo-robotics.cn/)

centernet icon centernet

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

centernet-pytorch icon centernet-pytorch

这是一个centernet-pytorch的源码,可以用于训练自己的模型。

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fairmot icon fairmot

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

ggcnn icon ggcnn

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

ggcnn_kinova_grasping icon ggcnn_kinova_grasping

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

graspnet-baseline icon graspnet-baseline

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

hrnet-semantic-segmentation icon hrnet-semantic-segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

map icon map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

pose-ae-train icon pose-ae-train

Training code for "Associative Embedding: End-to-End Learning for Joint Detection and Grouping"

psa icon psa

This is an official implementation of "Polarized Self-Attention: Towards High-quality Pixel-wise Regression"

pytorch-fcn icon pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

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