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@ -89,6 +89,7 @@ The main goal is to collect classical and solid works of image retrieval in acad
## Deep Learning Feature (Local Feature)
- [Learning Super-Features for Image Retrieval](https://openreview.net/pdf?id=wogsFPHwftY), ICLR 2022, [code](https://github.com/naver/FIRe).
- [LoFTR: Detector-Free Local Feature Matching with Transformers](https://openaccess.thecvf.com/content/CVPR2021/papers/Sun_LoFTR_Detector-Free_Local_Feature_Matching_With_Transformers_CVPR_2021_paper.pdf), CVPR 2021, [code](https://github.com/zju3dv/LoFTR).
- [DFM: A Performance Baseline for Deep Feature Matching](https://arxiv.org/abs/2106.07791), CVPRW 2021, [code](https://github.com/ufukefe/DFM).
- [COTR: Correspondence Transformer for Matching Across Images](https://github.com/ubc-vision/COTR), arxiv 2021.