Code for 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 and datasets for our paper "PTR: Prompt Tuning with Rules for Text Classification"

PTR Code and datasets for our paper "PTR: Prompt Tuning with Rules for Text Classification" If you use the code, please cite the following paper: @art

118 Dec 30, 2022

A Transformer Implementation that is easy to understand and customizable.

Simple Transformer I've written a series of articles on the transformer architecture and language models on Medium. This repository contains an implem

4 Jan 20, 2022

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Texar is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides

2.3k Jan 07, 2023

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

GPT2-Pytorch with Text-Generator Better Language Models and Their Implications Our model, called GPT-2 (a successor to GPT), was trained simply to pre

775 Jan 08, 2023

PyTorch implementation of NATSpeech: A Non-Autoregressive Text-to-Speech Framework

A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)

760 Jan 03, 2023

Implementation of TF-IDF algorithm to find documents similarity with cosine similarity

NLP learning Trying to learn NLP to use in my projects! Table of Contents About The Project Built With Getting Started Requirements Run Usage License

3 Aug 25, 2022

Use AutoModelForSeq2SeqLM in Huggingface Transformers to train COMET

Training COMET using seq2seq setting Use AutoModelForSeq2SeqLM in Huggingface Transformers to train COMET. The codes are modified from run_summarizati

9 Dec 17, 2022

Twitter bot that uses NLP models to summarize news articles referenced in a user's twitter timeline

Twitter-News-Summarizer Twitter bot that uses NLP models to summarize news articles referenced in a user's twitter timeline 1.) Extracts all tweets fr

1 Jan 27, 2022

⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).

BERT-of-Theseus Code for paper "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing". BERT-of-Theseus is a new compressed BERT by progre

284 Nov 25, 2022

PhoNLP: A BERT-based multi-task learning toolkit for part-of-speech tagging, named entity recognition and dependency parsing

PhoNLP is a multi-task learning model for joint part-of-speech (POS) tagging, named entity recognition (NER) and dependency parsing. Experiments on Vietnamese benchmark datasets show that PhoNLP prod

109 Dec 02, 2022

Code to use Augmented Shapiro Wilks Stopping, as well as code for the paper "Statistically Signifigant Stopping of Neural Network Training"

This codebase is being actively maintained, please create and issue if you have issues using it Basics All data files are included under losses and ea

32 Nov 09, 2021

Code for PED: DETR For (Crowd) Pedestrian Detection

Related tags

Overview

PED: DETR for Crowd Pedestrian Detection

Paper

Installation

License

Citing

Owner

Code and datasets for our paper "PTR: Prompt Tuning with Rules for Text Classification"

A Transformer Implementation that is easy to understand and customizable.

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

PyTorch implementation of NATSpeech: A Non-Autoregressive Text-to-Speech Framework

Implementation of TF-IDF algorithm to find documents similarity with cosine similarity

Use AutoModelForSeq2SeqLM in Huggingface Transformers to train COMET

Twitter bot that uses NLP models to summarize news articles referenced in a user's twitter timeline

⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).

PhoNLP: A BERT-based multi-task learning toolkit for part-of-speech tagging, named entity recognition and dependency parsing

CoSENT、STS、SentenceBERT

Voilà turns Jupyter notebooks into standalone web applications

DaCy: The State of the Art Danish NLP pipeline using SpaCy

edge-SR: Super-Resolution For The Masses

Spert NLP Relation Extraction API deployed with torchserve for inference

In this repository we have tested 3 VQA models on the ImageCLEF-2019 dataset.

Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"

Stanford CoreNLP provides a set of natural language analysis tools written in Java

ConferencingSpeech2022; Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge

Code to use Augmented Shapiro Wilks Stopping, as well as code for the paper "Statistically Signifigant Stopping of Neural Network Training"