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[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/multi-modal-queried-object-detection-in-the/few-shot-object-detection-on-odinw-13)](https://paperswithcode.com/sota/few-shot-object-detection-on-odinw-13?p=multi-modal-queried-object-detection-in-the)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/multi-modal-queried-object-detection-in-the/few-shot-object-detection-on-odinw-35)](https://paperswithcode.com/sota/few-shot-object-detection-on-odinw-35?p=multi-modal-queried-object-detection-in-the)
Official PyTorch implementation of "[Multi-modal Queried Object Detection in the Wild](https://arxiv.org/abs/2305.18980)": the first multi-modal queried open-set object detector.
[Paper](https://arxiv.org/abs/2305.18980)
Official code and models for the NeurIPS 2023 paper:
[Multi-modal Queried Object Detection in the Wild](https://arxiv.org/abs/2305.18980)
Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang, Ke Li, Changsheng Xu
NeurIPS 2023
MQ-Det is the first multi-modal queried open-set object detector.
If you have any questions, please feel free to raise an issue or email <yifan.xu@nlpr.ia.ac.cn>.