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# Multi-modal Queried Object Detection in the Wild (NeurIPS 2023)
<!-- <img src=".asset/method.png" width="800"> -->
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/multi-modal-queried-object-detection-in-the/zero-shot-object-detection-on-lvis-v1-0)](https://paperswithcode.com/sota/zero-shot-object-detection-on-lvis-v1-0?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/zero-shot-object-detection-on-lvis-v1-0-val)](https://paperswithcode.com/sota/zero-shot-object-detection-on-lvis-v1-0-val?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/zero-shot-object-detection-on-odinw)](https://paperswithcode.com/sota/zero-shot-object-detection-on-odinw?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.
@ -264,4 +267,4 @@ python tools/eval_odinw.py --config_file configs/pretrain/mq-glip-t.yaml \
--setting finetuning-free \
--add_name tiny \
--log_path 'OUTPUT/odinw_vision_log/'
```
```