OW-DETR

This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

[ECCV'22] Official repository of paper titled "Class-agnostic Object Detection with Multi-modal Transformer".

A PyTorch implementation of the paper: Specifying Object Attributes and Relations in Interactive Scene Generation

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)

Code for "Semantic Object Accuracy for Generative Text-to-Image Synthesis" (TPAMI 2020)

Helper for dealing with MS-COCO annotations

Detect known and unknown objects in the open world（具有区分已知与未知能力的全新检测器））

[IJCAI 2022] Official Pytorch code for paper “S2 Transformer for Image Captioning”

使用onnxruntime部署GroundingDINO开放世界目标检测，包含C++和Python两个版本的程序