Popular GitHub Repositories for Detr

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

???? (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! ???

RF-DETR is a real-time object detection model architecture developed by Roboflow, released under the Apache 2.0 license.

A paper list of some recent Transformer-based CV works.

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

[CVPR 2025] DEIM: DETR with Improved Matching for Fast Convergence

[CVPR 2022 Oral] Official implementation of DN-DETR

[ICLR 2022] Official implementation of the paper "DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR"

[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

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

[CVPR'2022] SAM-DETR & SAM-DETR++: Official PyTorch Implementation

Dense Distinct Query for End-to-End Object Detection (CVPR2023)

[CVPR 2022 Oral] AdaMixer: A Fast-Converging Query-Based Object Detector

AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)

[ECCV2024 Oral] Official implementation of the paper "Relation DETR: Exploring Explicit Position Relation Prior for Object Detection"

GRIT: Faster and Better Image-captioning Transformer (ECCV 2022)

基于TensorRT的C++高性能推理库，Yolov10, YoloPv2，Yolov5/7/X/8，RT-DETR，单目标跟踪OSTrack、LightTrack。

[CVPR 2024] Official implementation of the paper "Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement"

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

An Efficient, Flexible, and General deep learning framework that retains minimal.