PED: DETR for Crowd Pedestrian Detection

Last update: Sep 13, 2022

Overview

PED: DETR for Crowd Pedestrian Detection

Code for PED: DETR For (Crowd) Pedestrian Detection

Paper

PED: DETR for Crowd Pedestrian Detection

Installation

The codebases are built on top of Detectron2, DETR, Deformable DETR and Fast-Transformer

License

PED is released under MIT License.

Citing

If you use PED in your research, please consider citing:

@misc{lin2021detr,
      title={DETR for Crowd Pedestrian Detection}, 
      author={Matthieu Lin and Chuming Li and Xingyuan Bu and Ming Sun and Chen Lin and Junjie Yan and Wanli Ouyang and Zhidong Deng},
      year={2021},
      eprint={2012.06785},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Owner

lin matthieu

GitHub Repository

Code for paper: Towards Tokenized Human Dynamics Representation

Video Tokneization Codebase for video tokenization, based on our paper Towards Tokenized Human Dynamics Representation. Prerequisites (tested under Py

20 May 31, 2022

Human4D Dataset tools for processing and visualization

HUMAN4D: A Human-Centric Multimodal Dataset for Motions & Immersive Media HUMAN4D constitutes a large and multimodal 4D dataset that contains a variet

15 Nov 09, 2022

Training a deep learning model on the noisy CIFAR dataset

Training-a-deep-learning-model-on-the-noisy-CIFAR-dataset This repository contai

1 Jun 14, 2022

Graph Convolutional Networks for Temporal Action Localization (ICCV2019)

Graph Convolutional Networks for Temporal Action Localization This repo holds the codes and models for the PGCN framework presented on ICCV 2019 Graph

318 Dec 06, 2022

Wenet STT Python

Wenet STT Python Beta Software Simple Python library, distributed via binary wheels with few direct dependencies, for easily using WeNet models for sp

33 Feb 21, 2022

OpenL3: Open-source deep audio and image embeddings

OpenL3 OpenL3 is an open-source Python library for computing deep audio and image embeddings. Please refer to the documentation for detailed instructi

326 Jan 02, 2023

Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions

README Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifically, an

13 Nov 24, 2022

End-to-end Temporal Action Detection with Transformer. [Under review]

TadTR: End-to-end Temporal Action Detection with Transformer By Xiaolong Liu, Qimeng Wang, Yao Hu, Xu Tang, Song Bai, Xiang Bai. This repo holds the c

105 Dec 25, 2022

A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning", CIKM-21

ANEMONE A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning", CIKM-21 Dependencies python==3.6.1 dgl==

30 Dec 14, 2022

Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation

Configurations Change HOME_PATH in CONFIG.py as the current path Data Prepare CENSINCOME Download data Put census-income.data and census-income.test i

2 Aug 14, 2022

Partial implementation of ODE-GAN technique from the paper Training Generative Adversarial Networks by Solving Ordinary Differential Equations

ODE GAN (Prototype) in PyTorch Partial implementation of ODE-GAN technique from the paper Training Generative Adversarial Networks by Solving Ordinary

15 Feb 10, 2022

PED: DETR for Crowd Pedestrian Detection

Related tags

Overview

PED: DETR for Crowd Pedestrian Detection

Paper

Installation

License

Citing

Owner

Code for paper: Towards Tokenized Human Dynamics Representation

Human4D Dataset tools for processing and visualization

Training a deep learning model on the noisy CIFAR dataset

Graph Convolutional Networks for Temporal Action Localization (ICCV2019)

Wenet STT Python

OpenL3: Open-source deep audio and image embeddings

Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions

End-to-end Temporal Action Detection with Transformer. [Under review]

A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning", CIKM-21

Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation

Partial implementation of ODE-GAN technique from the paper Training Generative Adversarial Networks by Solving Ordinary Differential Equations

An open source Python package for plasma science that is under development

Pytorch implementation of Nueral Style transfer

A little software to generate and save Julia or Mandelbrot's Fractals.

Largest list of models for Core ML (for iOS 11+)

EPSANet：An Efficient Pyramid Split Attention Block on Convolutional Neural Network

A simple configurable bot for sending arXiv article alert by mail

IsoGCN code for ICLR2021

ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives

Minimal fastai code needed for working with pytorch