2nd Place Solution to Google Landmark Retrieval 2021
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Abstract (arXiv)
This paper presents the 2nd place solution to the Google Landmark Retrieval 2021 Competition on Kaggle. The solution is based on a baseline with training tricks from person re-identification, a continent-aware sampling strategy is presented to select training images according to their country tags and a Landmark-Country aware reranking is proposed for the retrieval task. With these contributions, we achieve 0.52995 mAP@100 on private leaderboard. Code available at https://github.com/WesleyZhang1991/Google_Landmark_Retrieval_2021_2nd_Place_Solution
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 15 of its 17 references that are in the map. First posted on arXiv 8 Oct 2021.
Builds on
15 of 17 references.
References · 15
- 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,415
- 2017Squeeze-and-Excitation Networkscited by 4,763
- 2016Aggregated Residual Transformations for Deep Neural Networkscited by 2,540
- 2017Random Erasing Data Augmentationcited by 1,235
- 2019When Does Label Smoothing Help?cited by 985
- 2020ResNeSt: Split-Attention Networkscited by 445
- 2018Two at Once: Enhancing Learning and Generalization Capacities via IBN-Netcited by 361
- 2020Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrievalcited by 305
- 2017Re-ranking Person Re-identification with k-reciprocal Encodingcited by 260
- 2017Beyond triplet loss: a deep quadruplet network for person re-identificationcited by 172
- 2019Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Datasetcited by 17
- 2020Supporting large-scale image recognition with out-of-domain samplescited by 9
3 more
- 2021Towards A Fairer Landmark Recognition Datasetcited by 9
- 20201st Place Solution to Google Landmark Retrieval 2020cited by 6
- 20203rd Place Solution to "Google Landmark Retrieval 2020"cited by 5
Built on by
Citing papers per year: 2022: 3; 2023: 1; 2024: 0; 2025: 1.
5 papers.
- 2022Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image Retrievalcited by 9
- 2022Darwinian Model Upgrades: Model Evolving with Selective Compatibilitycited by 4
- 2022Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Informationcited by 2
- 2025Prototype Perturbation for Relaxing Alignment Constraints in Backward-Compatible Learningcited by 2
- 2023MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrievalcited by 0
- 2025Prototype Perturbation for Relaxing Alignment Constraints in Backward-Compatible Learning19 Mar 2025
- 2023MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval6 Mar 2023
- 2022Darwinian Model Upgrades: Model Evolving with Selective Compatibility13 Oct 2022
- 2022Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information2 Jun 2022
- 2022Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image Retrieval29 Apr 2022