The official repo for [CVPR'23] "DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting" & [ArXiv'23] "DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Multilingual Text Spotting"

Official pytorch repository for "QD-DETR : Query-Dependent Video Representation for Moment Retrieval and Highlight Detection" (CVPR 2023 Paper)

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

[AAAI'23 Oral] DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer

Official pytorch repository for CG-DETR "Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding"

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

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

A 3D medical Detection Transformer library. Papers accepted @ MIDL22 & MELBA23/02.

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

Efficient Class Incremental Learning for Object Detection

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

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.

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

The excellent Image captioning model using the DETR inspired architecture

DEIM - DETR - Face detection

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.

YOLOv11 exercises (adapted from Ultralytics website and repository)