detr

OpenMMLab Detection Toolbox and Benchmark

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

Implementation of popular deep learning networks with TensorRT network definition API

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

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

D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]

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

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

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

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 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

SimpleAICV:pytorch training examples.

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

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

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