YOLOv11 exercises (adapted from Ultralytics website and repository)

Advanced real-time football tracking system using RF-DETR, Extended Kalman Filter, and an intelligent virtual camera. Production-grade pipeline for sports broadcasting with low-latency RTMP/YouTube streaming, PID-controlled smoothing, and trajectory prediction.

DEIM - DETR - Face detection

The excellent Image captioning model using the DETR inspired architecture

minimal inference demonstration code for Detection Transformer (DETR) object detection

Detection Transformer

[OV-DEIM] Real-time DETR-Style Open-Vocabulary Object Detection with GridSynthetic Augmentation

Application for training Facebooks's pretrained Detection Transformer model on a new object detection task

Python codes to implement DeMix, a DETR assisted CutMix method for image data augmentation

Efficient Class Incremental Learning for Object Detection

RT-DATR: Enhancing Real-time Unsupervised Domain Adaptive Detection Transformer for Autonomous Driving

This project is an implementation of the Detection Transformer (DETR) and the Conditional DETR variant of the model for state-of-the-art object detection. Using this project you can easily fine-tune and test both DETR variants on your own dataset following the included notebook guide.

[ICIP 2023 (oral)] Team DETR: Guide Queries as a Professional Team in Detection Transformers

This repo implements DETR in PyTorch and provides training and inference code on VOC dataset

Official Implementation of "FP-DETR: Detection Transformer Advanced by Fully Pre-training"

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

MonoDINO-DETR: Depth-Enhanced Monocular 3D Object Detection Using a Vision Foundation Model

Official Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"

[ICCV 2023] Official implementation of the paper "Detection Transformer with Stable Matching"

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