[ICCV 2023] DETRs with Collaborative Hybrid Assignments Training

This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)

Few-shot Object Counting and Detection (ECCV 2022)

Official Implementation of DE-CondDETR and DELA-CondDETR in "Towards Data-Efficient Detection Transformers"

:fire: 全网首发，mmdetection Co-DETR TensorRT端到端推理加速

Convert UA-DETRAC dataset to the dataset format supported by YOLOv5

Co-DETR (Detection Transformer) compiled from PyTorch to NVIDIA TensorRT

DetroitJS Website

An experimental pipeline to boost RT-DETR's accuracy on the TACO dataset using Knowledge Distillation from a Conditional DETR teacher. This project demonstrates a 9.2% mAP improvement with no impact on inference speed.

RT-DETR(v2 ※PyTorch版)をGoogle Colaboratory上で訓練しONNXのファイルをエクスポートするサンプル

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MICCAI2024 accepted paper for lymph nodes detection

This repo contains the code that explains DETR main concepts of the medium post.

Functions to implement detrended cross-correlation analysis

A smart IoT-based waste management system for efficient and automated waste collection and real-time monitoring of detritus levels.

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Comparative study of attention-based video object detection & tracking methods: DETR, Deformable DETR, Efficient DETR, TransVOD, and TrackFormer. Includes implementation, evaluation, and analysis on benchmark datasets to understand strengths and limitations in real-world video scenarios

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A deep learning–based computer vision training pipeline for car damage detection using a Co-DETR learner enhanced with CBAM Attention, Hybrid Loss, and Albumentations. Trains on Colab to identify and localize car body defects such as scratches, dents, and rust. Includes end-to-end model training and quantitative evaluation.

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Sistema fullstack para gerenciamento de contratos, convênios, acordos e termos de cooperação técnica do DETRAN-RJ. Inclui dashboard visual com gráficos e indicadores, CRUD completo de instrumentos, filtros por diretoria/tipo/status, e alertas de vencimento. · Construído com Manus

Train-time boosts for oriented DETR: adaptive matching, spectral rings, query coop/comp.

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在原版deformable-detr的基础上增加了多分类分支的功能

YOLO vs RT-DETR Detection Transformer | Experiment object detection | Computer vision tutorial

Simulando Sistema de Multas do Detran C# Asp,net Core Visual Studio 2017 / Nessa aula vamos simular o sistemas de multas por rodizio do detran. Utilizaremos a linguarem C# Asp,net Core Visual Studio 2017/ https://www.youtube.com/watch?v=-2qlqyXU5_c