End-to-End Object Detection with Transformers
翻译 - 变压器端对端物体检测
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
翻译 - Deformable DETR: Deformable Transformers for End-to-End Object Detection.
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
[CVPR'2022] SAM-DETR & SAM-DETR++: Official PyTorch Implementation
[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"
Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
翻译 - 3DETR 的代码和模型 - 用于 3D 对象检测的端到端转换器模型
PyTorch Implementation of Sparse DETR
DETR implementation based on detectron2.
An official implementation of the Anchor DETR.
[NeurIPS 2021] Moment-DETR code and QVHighlights dataset
Tensorflow implementation of DETR : Object Detection with Transformers
tensorflow 2.x version of ResNeSt,RegNet,DETR
Fine-tune Facebook's DETR (DEtection TRansformer) on Colaboratory.
A User Interface for DETR built with Dash. 100% Python.
[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation
[CVPR 2022] Official Pytorch code for OW-DETR: Open-world Detection Transformer
The first DETR-based monocular detector without additional depth supervision, anchors or NMS.
[Under preparation] Code repo for "Open-Vocabulary DETR with Conditional Matching" (ECCV 2022)