From e5f81f63a31150d92c03e87c23c59da77e11aab9 Mon Sep 17 00:00:00 2001 From: Yash Patel Date: Thu, 29 Sep 2022 13:06:19 -0700 Subject: [PATCH] + Recall@k surrogate CVPR 2022 --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 3ac3ddc..2ae44d6 100644 --- a/README.md +++ b/README.md @@ -56,6 +56,7 @@ The main goal is to collect classical and solid works of image retrieval in acad ## Deep Learning Feature (Global Feature) +- - [Recall@k Surrogate Loss with Large Batches and Similarity Mixup](https://openaccess.thecvf.com/content/CVPR2022/papers/Patel_Recallk_Surrogate_Loss_With_Large_Batches_and_Similarity_Mixup_CVPR_2022_paper.pdf), [code](https://github.com/yash0307/RecallatK_surrogate), CVPR 2022. - [Online Invariance Selection for Local Feature Descriptors](https://arxiv.org/abs/2007.08988), ECCV 2020, [code](https://github.com/rpautrat/LISRD). - [Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval](https://arxiv.org/pdf/2007.12163.pdf), ECCV 2020. - [SOLAR: Second-Order Loss and Attention for Image Retrieval](https://arxiv.org/pdf/2001.08972.pdf), ECCV 2020. @@ -119,6 +120,7 @@ The main goal is to collect classical and solid works of image retrieval in acad ## Deep Learning Feature (Instance Search) +- [Recall@k Surrogate Loss with Large Batches and Similarity Mixup](https://openaccess.thecvf.com/content/CVPR2022/papers/Patel_Recallk_Surrogate_Loss_With_Large_Batches_and_Similarity_Mixup_CVPR_2022_paper.pdf), [code](https://github.com/yash0307/RecallatK_surrogate), CVPR 2022. - [Deeply Activated Salient Region for Instance Search](https://arxiv.org/abs/2002.00185), arXiv 2020. - [Instance search based on weakly supervised feature learning](https://doi.org/10.1016/j.neucom.2019.11.029), Neurocomputing 2019. - [Instance Search via Instance Level Segmentation and Feature Representation](https://arxiv.org/abs/1806.03576), arXiv 2018.